Urban Science doi: 10.3390/urbansci8030076

Authors: Chris Butters Ali Cheshmehzangi Reza Bakhshoodeh

The climatic and environmental impact of construction works is well recognized, and in particular, the energy use and carbon emissions associated with both their production (embodied energy/carbon) and their lifetime operation (operational energy/carbon). However, the impact of site works, infrastructures, and landscaping has yet to be explored; most of the focus has been on the buildings rather than what is around and underneath them. Yet, these, especially in city contexts, are extensive. They are also both costly and carbon-intensive, involving mainly concrete and steel. Through intentionally simple examples, the carbon impact of the buildings themselves was compared to that of site works both on and below the surface, such as underground parking. These also represent major land use interventions often impacting the whole project site area. It is shown that these can constitute a considerable fraction of the total carbon footprint of construction projects. Further, this fraction is likely to increase as future buildings achieve much lower operational as well as embodied energy/carbon. This paper employs life cycle analysis tools to calculate the embodied carbon in specific case studies, with comparative evidence from the literature and a discussion of pertinent issues. Some broader issues were noted relating to building typologies, materials, and the varying significance of the infrastructures and site works in different climates. The carbon impacts of the site work need to be addressed more sustainably, irrespective of varying contexts. This perspective has implications for sustainable design as well as for urban planning.

Urban Science doi: 10.3390/urbansci8030075

Authors: Ping He Qian-Cheng Wang Geoffrey Qiping Shen

Intensive urban land use is a strategy to enhance productivity and mitigate environmental challenges in emerging regions, but its relationship with carbon emissions needs further city-level investigation. This study investigates the impact of intensive urban land use on carbon emissions across 153 cities in China, thus employing the STIRPAT model with the ordinary least square (OLS) and geographical weighted regression (GWR) methods. The findings underscore the heterogenous influence of intensive urban land use on carbon emissions across China’s urban landscapes: (1) R&D investment intensity and population density show significant negative association with carbon emissions in general. (2) Capital investment intensity positively affects carbon emissions in low-income cities, R&D investment intensity shows negative effects on carbon emissions in middle-income cities, and population density emerges as a substantial factor in reducing carbon emissions in both middle- and low-income cities. (3) Capital intensity, labor intensity, and R&D investment intensity exert positive effects on emissions in middle China and negative influences in northeastern and southern China, whereas population density shows converse spatial effects. Based on the study’s results, tailored policy implications are provided for urban planning authorities in emerging regions.

Urban Science doi: 10.3390/urbansci8030074

Authors: Rutsawadee Ruckchue Parkpoom Choomanee Surat Bualert Thitima Rungratanaubon Yossakorn Fungkeit Parkin Maskulrath

Urban green spaces are crucial for the exchange of energy fluxes, particularly sensible heat (QH) and latent heat (QE) fluxes. Therefore, this study aimed to investigate the characteristics of plant communities in urban green areas that affect turbulent fluxes, specifically QH and QE. The energy balance was measured using an eddy covariance system tower set up in three green areas at Kasetsart University: the Varunawan Garden (S1), the 100-Year Garden of Luang Suwan Vajokkasikit (S2), and the Phaholyothin Garden (S3). The results show that the canopy coverages of trees in S1, S2, and S3 were 526.23, 895.81, and 756.70 m2, respectively. The Bowen ratios (QH/QE) during the daytime in S1, S2, and S3 were 1.75, 1.09, and 1.43, respectively. These relationships suggest that dense trees, a dense canopy layer top, and the presence of water sources within the green areas resulted in a higher latent heat flux and a lower proportion of sensible heat flux. The findings of this study can be used as a guideline for the development and improvement of plant community structures in green areas within urban climate change adaptation.

Urban Science doi: 10.3390/urbansci8030073

Authors: Feng Qi Andres Ospina Parra Jennifer Block-Lerner Jonah McManus

The environment’s psychological impacts on humans have been long studied, but many questions remain unanswered. We conducted a micro-scale study to examine the relationships among the objective characteristics of urban environmental settings, people’s subjective perception of such settings, and the related psychological responses. We employed a geo-enabled survey tool to gather data on individuals’ perceptions of the immediate environment within their daily activity space. The psychological processes assessed included emotional and affective states such as perceived stress and happiness. The data points were mapped on a high-resolution aerial image, which was classified to derive quantitative properties to examine the dose-response relationship between environmental exposure and psychological responses. Our results showed negative correlations between the momentary stress level and the amount of environmental elements such as water, trees, and grass. Positive correlations were detected between stress level and the amount of parking lot and barren land, as well as the distance to buildings. In terms of perceived happiness, positive environmental factors included water, trees, and artificial surfaces, with all other elements having negative correlations. Most of the correlations examined were not strong correlations. This could be due to the significant differences in how individuals respond to environmental stimuli.

Urban Science doi: 10.3390/urbansci8020072

Authors: Fernanda C. Ventorim Vinicius M. Netto

Urban crime is a pressing issue in socially unequal regions like Brazil. We investigate the complex relationships between crime, victims, and urban situations in Rio de Janeiro. We analyze the connections between specific types of crime, victim characteristics, and crime locations through complex network analysis. In a large-scale empirical study, we examine 5000 randomly selected crime incidents in Rio between 2007 and 2018. Our analysis reveals a strong association between sex, race, location, and income inequality in the risk of exposure to crime. The results suggest that specific social groups, notably black and brown women, face a higher-than-average vulnerability to particular types of crime in Rio. Our investigation confirms our hypothesis that crime incidents are not random occurrences. Instead, we have discovered meaningful connections between specific types of crime, victim characteristics, and crime locations. These findings indicate a pattern of underlying factors shaping the distribution of crime and vulnerable social groups.

Urban Science doi: 10.3390/urbansci8020071

Authors: Mostafa Jafarzadehfadaki Virginia P. Sisiopiku

E-scooters have emerged as a popular micromobility option for short trips, with many cities embracing shared e-scooters to enhance convenience for travelers and reduce reliance on automobiles. Despite their rising popularity, there is a lack of clear understanding of how user preferences and adoption practices vary by location. This study aims to explore user and non-user attitudes towards e-scooter use in diverse urban settings. A meta-analysis of data from three surveys (N = 1197) conducted in Washington, D.C., Miami, FL, and Los Angeles, CA, was performed to compare e-scooter users and non-user profiles, mode choice factors, and attitudes and preferences towards e-scooter use. Additionally, machine learning (ML) and SHAP (SHapley Additive exPlanations) analysis were utilized to identify influential factors in predicting e-scooter use in each city. The results reveal that the majority of e-scooter users are 25 to 39 of age, male, with higher income and a bachelor’s degree, and 92% possess a driver’s license. Significant differences in attitudes between e-scooter users and non-users highlight the complexity of perceptions towards e-scooter usage. The ML model indicates that employment status negatively impacts the prediction of e-scooter users, while factors such as living without a car and using non-motorized modes positively influence e-scooter use. Educational background is a significant e-scooter mode choice factor in Washington, D.C. and Miami, whereas attitudinal questions on car and technology usage are influential in Los Angeles. These findings provide valuable insights into the factors shaping e-scooter adoption, informing urban transportation planning and policymaking and enhancing understanding of shared micromobility and its impact on urban mobility.

Urban Science doi: 10.3390/urbansci8020070

Authors: Sara Ibrahim Ahmed Younes Shahira Assem Abdel-Razek

With the increase in car domination, air pollution, traffic congestion, and urban sprawl, sustainable, livable, creative, and walkable cities are critical, now more than ever, for improving quality of life. The effect of neighborhood urban morphologies on walkability has received much attention in recent years. In this vein, the main research question is: how do different neighborhood urban morphologies impact the level of walkability in urban environments, and what are the essential elements impacting the walkability index? Thus, this research aims to determine the impact of urban morphology on walkability in the city of Alexandria, Egypt, as a case study by utilizing multi-spatial analysis. In particular, the study focused on assessing the walkability of four different study areas that vary according to their urban morphology: Kafr–Abdo, Smouha, Latin Quarter, and Roushdy areas. The analysis utilized GIS to calculate a number of indicators to reach the final walkability index for each study area. Results helped to identify the neighborhoods characterized by the lowest level of pedestrian walkability in relation to the area’s urban morphology in an attempt to help decision-makers suggest the appropriate interventions for those areas. The aggregated index results showed that the highest walkability index was that of the gridiron morphology, followed by the linear morphology, with the radial and organic morphologies coming in behind them, respectively. The composite walkability index values were 0.364, 0.247, 0.232 and 0.225, respectively. The reason for this is mainly the presence of the commercial density, intersection density, street density, services density, BCR, and residential density.

Urban Science doi: 10.3390/urbansci8020069

Authors: Panagiota Mavrogenidou Apostolos Papagiannakis

Mobility as a Service (MaaS) is a new mobility solution that brings together different modes of transportation, such as car-sharing, public transport, taxis, and bicycles, to create personalized service packages for commuters. The present study aims to identify key factors affecting the adoption of a Mobility as a Service system, and to explore the extent to which a local community is ready to accept the implementation of MaaS. The case study investigates the city of Thessaloniki, which is the second largest urban agglomeration in Greece. This study applies a triangulation approach by combining quantitative and qualitative analysis, providing a comprehensive understanding of the opportunities and the challenges arising with the implementation of a MaaS system in the city of Thessaloniki. Furthermore, the utilization of MaaS as a tool for vulnerable people, a crucial aspect that has not been analyzed properly in the existing literature, is examined. A quantitative survey analysis was conducted, inferential statistics were applied, and a binary logistic regression model was developed to determine the significant characteristics that most affect citizens’ willingness to use a MaaS system. In addition, stakeholders were interviewed to examine their readiness to promote and collaborate for the development of a MaaS system. Results showed that age, driving license, daily time spent on urban trips, the frequency of commuting as car passenger or by public transport (PT), previous usage of a MaaS system, and the number of family members seem to be the most influential factors of citizens’ choice to adopt MaaS. For stakeholders, the quality of service provided, and the user friendliness of the system are necessary prerequisites. The findings reveal that the views of residents and stakeholders provide some positive foundations for the development of a MaaS system in the city.

Urban Science doi: 10.3390/urbansci8020067

Authors: Sebastian Scheuer Luca Sumfleth Long Dac Hoang Nguyen Ylan Vo Thi Binh Minh Hoang Jessica Jache

The health of urban populations is increasingly at risk due to the amplification and chronification of urban heat stress by climate change. This is particularly true for urban environments in humid tropical climates, including many cities in Southeast Asia. It is also in these locations where increasing climatic risks may be exacerbated by urban growth, underscoring the need to develop effective mitigation strategies for strengthening urban resilience and supporting climate change adaptation. Conservation and widespread implementation of green infrastructure (GI) are regarded as one means to counter heat as a public health threat. However, for lower-income countries across Southeast Asia, such as Vietnam, knowledge gaps remain with respect to the effectiveness of greening interventions for heat mitigation. To address this gap, in the context of urban expansion in the humid tropical city of Huế, Vietnam, diurnal cooling potential and regulation of outdoor thermal comfort (OTC) within a wide, shallow street canyon were systematically assessed for selected elements of GI along a quantitative and qualitative dimension using ENVI-met. Tree-based interventions were found to be most effective, potentially decreasing UTCI by −1.9 K at the domain level. Although lower in magnitude, green verges and green facades were also found to contribute to OTC, with green verges decreasing UTCI by up to −1.7 K and green facades by up to −1.4 K locally. Potential synergistic cooling impacts were identified through a combination of GI elements. However, no scenario was found to decrease heat stress to zero or moderate levels. Substantially reducing heat stress may thus require further measures and a closer consideration of local morphological characteristics.

Urban Science doi: 10.3390/urbansci8020068

Authors: Lubna Alawneh Maram Tawil Katrin Bäumer Christa Reicher

This research focuses on the residential patterns that were traced in Amman in the last decades due to the constant influx of migrants. Therefore, mapping the residential patterns that are emerging was seen important to understand the morphology of the area. A mixed-methods approach was used to identify the typologies emerging into the setting. New residential patterns that called for new strategic thinking were captured and analyzed. Enhancing the new image of “celebrated character” that urges new perception of heterogeneous communities and attracting more sustainable residential attributes towards the neighborhood were the two main outcomes of the study.

Urban Science doi: 10.3390/urbansci8020066

Authors: Nikolai Bolshakov Alberto Celani Vladimir Badenko Rafael Magdalena Benedicto

This paper delves into the integration of Factories of the Future (FoF) and digital twin technologies within urban contexts, marking a significant leap in Smart Cities development. We present a thorough exploration of the principles and a scientifically grounded framework designed for seamlessly blending advanced manufacturing systems with the urban environment’s digital and physical aspects. Our detailed analysis has identified core principles crucial for this integration, focusing on interoperability, sustainability, adaptability, stakeholder collaboration, and strong data governance. We propose a structured framework that puts these principles into action, outlining strategic routes for incorporating digital twin and Building Information Modeling (BIM) technologies into FoF, establishing public-private partnerships, enhancing education and workforce development, and setting up mechanisms for ongoing evaluation and enhancement. The potential of this integration to transform urban development is vast, providing a model for boosting operational efficiency, driving economic growth, and enhancing urban livability. Although challenges exist in realizing this vision, our research offers practical insights and strategies for cities and industries to effectively navigate the complexities of the digital era. This contribution enriches the growing field of urban science, advocating for a harmonious integration of industrial production with urban development in the Smart Cities framework.

Urban Science doi: 10.3390/urbansci8020065

Authors: Diego Ros-McDonnell María Victoria de-la-Fuente-Aragón Lorenzo Ros-McDonnell Manuel Cardós

Including pedestrians in urban design is vital so that they prefer walking over motorized transport. Motorized mobility, which mainly involves automobiles, has conditioned urban design, pedestrian movement, sustainability, and urban resilience. Studies of walkability in cities have recently been conducted, and they can be classified into those that use a qualitative observer-perception-based approach and a second approach based on the measurement of observable variables. This work aims to develop a tool that allows for walkability in public spaces to be evaluated based on directly observing reality while considering both approaches: those related to perceiving the environment and physical reality. Walking is one of the main ways of moving around and achieving sustainable urban mobility. The conditions of public spaces are fundamental for people in their preference for moving around by walking. A literature review related to walkability revealed that previous works included a variety of viewpoints, scales, tools, variables, and approaches. This study included a developed tool by modeling a definition of working areas, processing walkability data, and determining the Walkability Index (WI). The reliability of the data observed from the walkability variables was verified, and the tool’s usefulness for urban planning was demonstrated. Pedestrian-centered urban design promotes cities’ sustainable mobility, sustainability, and resilience. People’s conduct reveals how the urban environment is perceived. The developed WI evaluates the existing reality and allows for its evolution to be monitored.

Urban Science doi: 10.3390/urbansci8020064

Authors: Ahmed Jaber Huthaifa Ashqar Bálint Csonka

Locating shared electric micro-mobility stations in urban environments involves balancing multiple objectives, including accessibility, profitability, sustainability, operational costs, and social considerations. This study investigates traveler preferences regarding shared electric micro-mobility stations, focusing on factors influencing their location decisions. The study used the Analytic Hierarchy Process (AHP) model to analyze the criteria and determine their relative importance in influencing the location decisions of shared electric micro-mobility stations as evaluated by experts in transportation fields. The examined criteria are proximity to public transportation, accessibility to key destinations, demographics (e.g., age, and income), safety, land use, and pedestrian and cyclist infrastructure. Using the AHP model, the importance and ranking of each criterion were established. Results indicate that the availability and quality of sidewalks and bike lanes in the vicinity, along with the proximity to popular destinations like shopping centers and tourist attractions, emerge as the most influential criteria. The least important criteria were the demographics such as the young age percentage in the area and the average income of the surrounding population. These findings underscore the critical importance of well-maintained infrastructure for pedestrian and cyclist mobility, as well as the need for convenient access to high-traffic areas. Such insights provide valuable guidance for informed decision making regarding the optimal placement of shared electric micro-mobility stations.

Urban Science doi: 10.3390/urbansci8020063

Authors: Phuong Mai Tran Thuy Nguyen Huu-Dung Nguyen Nguyen An Thinh Nguyen Duc Lam Nguyen Thi Huyen Van Quy Khuc

The circular economy (CE), a sustainability concept that promotes resource efficiency and waste reduction, has garnered significant popularity in recent years due to its potential to address pressing environmental and economic challenges. This study applies the Bayesian Mindsponge Mindspongeconomics (BMM) framework/analytic method, based on the Bayesian Mindsponge Framework (BMF), to the factors influencing young adults’ pro-environmental behavior and their purchases of green products at different price levels. The findings indicate that young adults who are knowledgeable about the CE and who value environmental protection and energy conservation are more likely to engage in waste sorting, while the factors that affect their willingness to pay (WTP) more for green and energy-saving products vary at different price tiers. This study demonstrates that knowledge of the CE, daily waste sorting habits, and environmental concern positively impact young adults’ WTP for products that are priced 5%, 10%, and 15% higher, respectively. Furthermore, this study also highlights the potential of educational programs and cultural influences in nurturing a generation that prioritizes environmental value. This research integrates multidisciplinary perspectives and offers practical implications for policymakers, educators, and businesses seeking to promote green literacy and foster an environmental culture among the youth, contributing to the broader goals of green transformation and sustainable development associated with the CE and the green economy, especially in the urban areas of emerging countries and beyond.

Urban Science doi: 10.3390/urbansci8020062

Authors: Daniela Haluza Ina Meyer Anke Strüver Andreas Exner

Urban green contributes to enhanced well-being and overall quality of life in urban populations. The concept of place attachment provides an established avenue for exploring the intricate connections between urban environments and personal experiences. Building on the notion of place attachment, we investigated the perceptions of horizontal and vertical urban green by introducing a novel Urban Green Attachment (UGA) scale. A cross-sectional study using an online survey in German, measuring emotional, cognitive, and behavioral relations to urban vegetation, was conducted among 164 adult inhabitants of the Volkert quarter in Vienna, Austria. Using principal component analysis, we found that the UGA scale was a reliable measure of attachment to urban green, with ten items within the “attachment” factor. Study participants highly valued vertical green, but did not differentiate their attachment to it from horizontal greenery within the specific local context and by design of the measures we used. Thus, further studies and ethnographic investigations, preferentially accompanied by methods such as walking interviews, are needed to test the scale for other populations and settings. The UGA scale emerges as a valuable tool for advancing understanding in this critical area, given the current climate change-driven transformations of cities, building on the creation of green infrastructure.

Urban Science doi: 10.3390/urbansci8020061

Authors: Jorge T. Ribeiro Alexandra R. Vieira Susana Rosado Francisco Serdoura

The increases in both the elderly population and urbanization present new problems for planning new cities and managing old cities. To solve this challenge, innovative ideas/proposals that encourage walkability and reduce fossil energy motor transport are needed, in line with the actions advocated by Sustainable Development Goal #11 (SDG11), Sustainable Cities and Communities. Opening passages that cross blocks, creating connections between the streets, is the proposal discussed in this paper, as seen in cities like Paris, Prague, Milan, and Juíz de Fora, which have passages in their urban fabric. These can be implemented in a building’s rehabilitation or when a new building replaces it. New architectural project designs should have several characteristics that promote walkability in the city, including passages and galleries. Although previous research has obtained promising results, extending the research to different urban fabrics and block sizes is needed. Using space syntax and data analysis, we simulated and quantitatively assessed the walkability of three neighborhoods in Lisbon, Portugal. The comparison of all simulations and the discussion of the results show that the passages improve walkability. It is also noticeable that there is higher walkability in orthogonal urban fabrics than in non-orthogonal fabrics. The results for block size are inconclusive.

Urban Science doi: 10.3390/urbansci8020060

Authors: Cristiana Vîlcea Liliana Popescu Alin Clincea

Sustainable development has been a global concern worldwide for the last decades now, but only recently have the challenges faced by small towns, especially in regions experiencing population contraction been addressed. (1) Background: This article delves into the case of Romania, a country in Eastern Europe that has witnessed significant demographic, social and economic changes in recent decades. Population contraction in small towns can significantly impact their future development. (2) Methods: The research was conducted in three stages: first, we selected relevant demographic, economic, financial and social indices (16 in total), then we analysed their changes over time, and forecast their values based on statistical data to assess economic development sustainability for 215 small towns with less than 20,000 inhabitants. (3) Results: Following the aggregation of the quantitative indicators and the demographic changes, we identified four categories of small towns. (4) Conclusions: the study underlines the importance of adopting proper policies targeting small towns in Romania to ensure their long-term viability by implementing targeted policies and strategies such as incentives for local businesses, improving educational and healthcare facilities, and promoting entrepreneurship. The ultimate goal is to mitigate the adverse effects of population contraction and pave the way for more sustainable and resilient communities.

Urban Science doi: 10.3390/urbansci8020059

Authors: Yang Song Zipeng Guo Ruiqi Yang Na Wang

Urban parks serve as vital spaces for leisure, social interaction, and nature engagement. At the same time, climate change disproportionately impacts densely populated megacities. While extensive research exists on climate change’s effects on mortality, agriculture, and economic activities, less is known about its impact on urban park usage. Understanding their temporal usage and how temperature changes affect park visitation is crucial for maximizing park benefits and building resiliency. This study analyzes long-term, hourly park visitation data on Dallas, Texas, using digital trace data from SafeGraph (San Francisco, CA, USA), which covers mobile records from approximately 10% of U.S. devices. We focus on five established parks in Dallas and examine their historical temperature data from 2018 to 2022. Descriptive statistics and scatter graphs are utilized to analyze temperature- and demographic-specific visitation patterns. The results of the study highlight the impact of climate change on park visitation and reveal how extreme temperatures influence visitation patterns across parks in Dallas. Additionally, this study explores the differences in visitation based on weekdays versus weekends and highlights demographic disparities. Notably, we examine the implications of nighttime park usage during extreme heat conditions. Our work is informative for urban planners seeking to improve park facilities and comfort amid climate change, ultimately enhancing the resilience and well-being of urban communities.

Urban Science doi: 10.3390/urbansci8020058

Authors: Nab Raj Subedi Kevin McDougall Dev Raj Paudyal

Measuring the impact of land use regulation on the land market involves identifying and classifying relevant impact factors related to the land market. The objective of this study was to identify land market impact factors in the context of the introduction of land use regulation in Nepal. Through a combination of desktop review and the incorporation of stakeholder perspectives, the paper presents a new approach for determining land market impact factors due to land use regulation where both generic and country issues are considered. A desktop review was carried out to identify a preliminary set of impact factors, which were reclassified through intuitive analysis based on the degree of thematic closeness. Perspective-based impact factors were identified through the qualitative analysis of primary data collected through semi-structured interviews with the Nepalese land market stakeholders. These independently derived impact factors were compared with the desktop literature review impact factors, resulting in 14 land market impact factors across four dimensions, including transaction cost, valuation, mortgage availability, taxation, and compensation across the economic dimension; lot size, subdivision restrictions, and coordination across the institutional dimension; awareness, expectation, and proximity across the social dimension; and risk reduction, quality of residential land, and suitability of zoning classification across the environmental dimension. There was significant overlap and commonality across factors identified from both the literature review and semi-structured interviews. The land market impact factors determined in this study may be adapted and generalized across other countries and could be utilized to better understand the impacts of land policy decisions on urban planning and development. Further research is recommended on the process to operationalize the use of these factors to quantify the impact of land use regulation on different land markets.

Urban Science doi: 10.3390/urbansci8020057

Authors: Alexandra Lagorio Giulio Mangano

This paper presents an empirical study focused on the use of TooGoodToGo smartphone applications by urban food retailers and HoReCa sector owners, evaluating their satisfaction levels with using this app and identifying the most relevant business levers that might convince other operators to adopt anti-waste programs and more sustainable behaviors. To this end, a survey questionnaire is administered to a sample of respondents. Data are statistically analyzed using the Kruskal–Wallis test to consider the different perspectives of the identified subsamples. The results reveal that business operators claim to have a high level of satisfaction with exploiting the service provided by the app and that it is a lever for increasing the number of customers served, even if there is not a high positive effect on revenue. However, retailers with more years of operations, who can be considered more experienced, can better exploit the opportunities of the TGTG business. This study contributes to a better understanding of the benefits of using web application services to decrease waste from urban food retailers. Consequently, levers for convincing new operators to adopt the service and their role in increasing customer awareness are identified and discussed.

Urban Science doi: 10.3390/urbansci8020056

Authors: Omar Albatayneh Sherif M. Gaweesh Mohammad Nadeem Akhtar

Shared mobility services furnish convenient transportation alternatives for individuals without vehicle ownership or a preference against driving. Shared mobility could benefit developing countries by providing a cost-effective alternative, enhancing accessibility, reducing congestion, and creating multiple job opportunities. In this study, a comprehensive analysis to assess shared mobility options as an avenue to sustainable transportation in Amman, Jordan, is presented. The study employs a multifaceted methodology, including a survey questionnaire, preliminary analysis, Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis, and Structural Equation Model (SEM). The data were collected from a diverse group of Amman residents using a survey composed of 29 questions. The survey included demographic information, travel behavior, willingness to adopt shared mobility, perceived benefits, and possible barriers. These data were analyzed using Structural Equation Modeling (SEM), providing an in-depth understanding of the interrelationships among the variables studied. This study concludes by contributing to the ongoing discussion on sustainable urban transportation in Jordan and providing a road map for policymakers, urban planners, and transportation service providers. The presented findings provide an empirical basis for guiding future strategies and interventions toward sustainable urban development in Amman and potentially other urban contexts with comparable characteristics. Key findings reveal a significant potential for shared mobility to enhance urban transportation sustainability. Specifically, a notable positive perception among Amman residents was observed, with an average willingness to switch to shared mobility for daily commuting scoring 4.68 on a 7-point Likert scale. Moreover, a statistical analysis indicates that factors such as reduced costs, improved service reliability, and better environmental sustainability, notably influence the adoption of shared mobility services.

Urban Science doi: 10.3390/urbansci8020055

Authors: Dalia Perkumienė Ahmet Atalay Gintautas Labanauskas

The purpose of this study is to calculate the carbon footprint of the 2023 EuroLeague Men’s Final Four competition and identify the sources of the carbon footprint in sports. This study also aims to predict possible solutions to reduce this footprint. Mixed research methods were used in this study. Firstly, carbon footprint calculations related to the teams and fan travel were carried out. In the second step, interviews were conducted with the managers of the teams that won the basketball Final Four. The interviews were conducted using a semi-structured interview. The total carbon footprint of the four teams participating in the competitions was calculated as 4560.25 kg, and the average of the total carbon footprint of the teams per person was calculated as 189.74 kg. The total carbon footprint of the fans of the four teams was calculated as 4065.686 kg, and the average of the total carbon footprint per capita of the fans was calculated as 3.003 kg. According to the interview findings, the carbon footprint sources in sports were identified as traveling, energy consumption, and waste generation. Turning to renewable energy sources, waste management and sustainable transport alternatives were identified as effective solutions for reducing the carbon footprint. Analysis of the research results showed that the interest and participation in the Final Four and other international organizations are increasing. Due to increasing carbon footprint, these events and competitions should be planned and conducted in accordance with the goals of environmental sustainability. For this purpose, managers and policy makers should turn to clean energy sources, including waste management and recycling strategies, the preparation of sustainable transportation projects, and integrating all these processes into organization activities.

Urban Science doi: 10.3390/urbansci8020054

Authors: Audrė Kalinauskaitė Lina Davulienė Julija Pauraite Agnė Minderytė Steigvilė Byčenkienė

Urban science plays a pivotal role in understanding the complex interactions between fireworks, air quality, and urban environments. Dense firework smoke worsens air quality and poses a health hazard to the public. In this study, we show a situation where extremely foggy meteorological conditions coincided with intense anthropogenic emissions, including fireworks, in an urban area. For the first time, the chemical composition and sources of non-refractory submicron aerosol (NR-PM1) in outdoor and indoor air were characterized in Vilnius (Lithuania) using an aerosol chemical speciation monitor (ACSM) and Positive Matrix Factorization for the period before the fireworks, on New Year’s Eve, and after the fireworks in 2020/2021; thus, typical changes were assessed. Due to stagnant weather conditions and increased traffic, the highest concentrations of black carbon (BC) (13.8 μg/m3) were observed before the fireworks display. The contribution of organic (Org) fraction to the total NR-PM1 mass concentration, in the comparison of the values of a typical night and New Year’s Eve (from 9 p.m. to 6 a.m.), increased from 43% to 70% and from 47% to 60% in outdoor and indoor air, respectively. Biomass-burning organic aerosol (BBOA, 48% (44%)) and hydrocarbon-like organic aerosol (HOA, 35% (21%)) dominated the organic fraction indoors and outdoors, respectively. HOA was likely linked to increased traffic during the event, while BBOA may have been related to domestic heating and fireworks.

Urban Science doi: 10.3390/urbansci8020053

Authors: Audrey Rose A. Velayo Peter D. Suson Maricar M. Aguilos Hernando P. Bacosa

Iligan City has been the heart of major industries in steel, cement, and hydropower and is one of the highly urbanized coastal cities in Mindanao, Philippines. Due to its geological state, environmental challenges like flooding, natural disasters, and environmental degradation have been experienced by the city. With the climate crisis, these risks are being magnified. Recently, nature-based solutions (NBS) have gained significant attention worldwide, viewed as a key solution to the consequences of climate change. Yet implementation of strategies and policies regarding NBS, especially in developing countries, has received poor attention. Hence, this study aims to assess the awareness and perceptions of stakeholders in Iligan City regarding climate change, NBS, and willingness to engage in actions involving NBS. Stakeholder mapping and surveys were conducted through purposive sampling. A total of 187 respondents were interviewed from different sectors (LGUs, NGOs, the private sector, and academia) in Iligan City. Results revealed significant differences in awareness and perceptions across the distinct socio-economic backgrounds of stakeholders, where respondents with higher education and income have greater levels of awareness, perception, and willingness. The study recommends future targeted approaches and increased campaigns for climate change and sustainable solutions such as integrating NBS in adaptation strategies and mitigation plans to foster multi-level stakeholder collaboration.

Urban Science doi: 10.3390/urbansci8020052

Authors: Sergio Nesmachnow Silvina Hipogrosso

This article presents an assessment of sustainable mobility initiatives developed in Montevideo, Uruguay, in the period from 2020 to 2023. The significance of sustainable mobility is underscored due to its far-reaching implications for the environment, energy efficiency, and the overall quality of life of citizens. This study focuses on crucial aspects of four initiatives deployed in Montevideo in 2020–2023: electric mobility solutions using scooters, the development of infrastructure and services for urban cycling, the development of electric public transportation, and private electric transportation. Important results are obtained and commented on for each of the studied initiatives, regarding efficiency, environmental impact, accessibility, the quality of the service, and other relevant indicators. Based on the analysis, valuable knowledge is acquired to guide the future development of efficient and sustainable transportation modes in Montevideo, Uruguay.

Urban Science doi: 10.3390/urbansci8020051

Authors: Tianni Wang Zongjie Ding Mark Ching-Pong Poo Yui-Yip Lau

Within the framework of economic globalisation, ports serve as critical junctures in international trade and play a vital role. However, as infrastructure is closely linked to the natural environment, ports are highly susceptible to the impacts of meteorological disasters. Therefore, a comprehensive assessment of the risks posed by meteorological hazards to ports, establishing corresponding early warning mechanisms, and adopting reasonable response and recovery strategies, is paramount in ensuring the safe operation of ports and maintaining the stability of international trade. This study has comprehensively analysed historical data and identified the pre-established loss stratification system, improving the theoretical construct of “expected loss”. Additionally, this research has innovatively integrated the idea of preventative factors aligned with risk indicators. A quantitative algorithm was used to factor in the preventative factors within the computational procedure, deriving the weights pertinent to each risk indicator. This research aimed to reduce the subjectivity inherent in the weighting assignment process through such an approach, thereby enhancing disaster risk assessment’s scientific rigour and reliability. Moreover, it underscores the critical role of adaptive urban planning in enhancing the resilience of crucial economic nodes like ports, thereby contributing to the broader objectives of sustainable urban development.

Urban Science doi: 10.3390/urbansci8020050

Authors: Mariarosaria Angrisano Francesca Nocca Anna Scotto Di Santolo

As climate change accelerates, urban areas are becoming increasingly inhospitable, with rising heat island effects and overall unhealthy environmental conditions. In this context, historic villages, due to their proximity to nature and lower population density, can represent a valuable alternative to unsustainable urban areas, providing better quality of life (i.e., through healthier environment, better work–life balance). They are “populated” by historic buildings characterized by high cultural value but are often in a state of abandonment. Nowadays, the adaptive reuse of cultural heritage represents an efficient strategy to adapt it to new needs/requirements and, at the same time, to preserve its historical and intrinsic values for present and future generations. In this framework, this study proposes a multidimensional evaluation framework for assessing cultural heritage adaptive reuse projects, covering all sustainability dimensions and capturing both tangible and intangible values. This framework, consisting of multiple criteria and multidimensional indicators, has been applied to evaluate alternative scenarios related to the regeneration of the abandoned Seminary in Sant’Agata de’ Goti (historic village), Benevento, Italy. In particular, three different scenarios have been evaluated by the SOCRATES (SOcial multi Criteria Assessment of European policies) method, a multicriteria decision method developed by the Joint Research Center (JRC) of the European Commission.

Urban Science doi: 10.3390/urbansci8020049

Authors: Luigi Cofone Marise Sabato Enrico Di Rosa Chiara Colombo Lorenzo Paglione

Due to major global urbanisation, a careful evaluation of plans (town planning and mobility) and projects (industrial and development) is required in order to measure their impact on health and environmental matrices. In Italy, Legislative Decree No 152/06 introduced two procedures: the EIA (Environmental Impact Assessment) and SIA (Strategic Impact Assessment). Their focus, however, does not consider human health. Recently, the Integrated Environmental and Health Impact Assessment (IEHIA) was introduced; this defines the parameters necessary to provide an EIA that includes human health as a factor. This systematic review was conducted, including both the population impacted by new facilities and the method used to define their impact. Our database search produced 724 articles, of which 33 were eligible. Studies included landfill plans, manufacturing industries, mobility policies, energy production, and the environmental health of an area. All studies show how an approach encompassing multiple parameters can analyse the impact of a new facility in a comprehensive manner. This review shows that the use of health-related environmental impact parameters is essential for the integration of a project into a community, and can allow a wider understanding of the possible impacts on human health, both direct and indirect.

Urban Science doi: 10.3390/urbansci8020048

Authors: Gerrit Brandes Christian Sieg Marcel Sander Roman Henze

Current research on automated driving systems focuses on Level 4 automated driving (AD) in specific operational design Domains (ODD). Measurement data from customer fleet operation are commonly used to extract scenarios and ODD features (road infrastructure, etc.) for the testing of AD functions. To ensure data relevance for the vehicle use case, driving domain classification of the data is required. Generally, classification into urban, extra-urban and highway domains provides data with similar ODD features. Highway classification can be implemented using global navigation satellite system coordinates of the driving route, map-matching algorithms, and road classes stored in digital maps. However, the distinction between urban and extra-urban driving domains is more complex, as settlement taxonomies and administrative-level hierarchies are not globally consistent. Therefore, this paper presents a map-based method for driving domain classification. First, potential urban areas (PUA) are identified based on urban land-use density, which is determined based on land-use categories from OpenStreetMap (OSM) and then spatially smoothed by kernel density estimation. Subsequently, two road network scaling models are used to distinguish between urban and extra-urban domains for the PUA. Finally, statistics of ODD feature distribution are analysed for the classified urban and extra-urban areas.

Urban Science doi: 10.3390/urbansci8020047

Authors: Ioan Ianoș Radu-Matei Cocheci Alexandru-Ionuț Petrișor

This study offers, by an empirical analysis, another perspective on post-socialist development, highlighting the role of the urban–rural interface in regional dynamics. The current literature on the relationships between both issues is not too rich and our paper analyzes the relationships between core cities, their peri-urban areas, and their regions, through a comparative overview of their growth over the last three decades. Romania, as a special case study for a contradictory transition, due to the great step from a drastic dictatorial regime to a democracy and a market economy, is a good example to test these complex relationships. Considering the new development trend at the urban–rural interfaces, our key idea was to depict their contribution to regional development (NUTS 3) compared to city cores. The second question was how this differentiated contribution can be measured, using the simplest tool. The starting point was the fact that population dynamics reflect all changes in the city core and at the urban–rural interface, and less so at a regional level. Consequently, we selected the dynamics of the number of inhabitants for the first two, as well as the dynamics of GDP per capita at the regional level. We found higher and significant correlations between GDP per capita and urban–rural interfaces, but no significant correlations in the case of city cores. Our conclusion is that, in the transition period, the dynamics of urban–rural interfaces influenced more regional development dynamics, than those of city cores. This means that urban–rural interfaces amplify the development coming from cities, adding their own contribution and then dissipating it regionally. Future research should identify what the urban–rural interface offers to regions, in addition to the city core.

Urban Science doi: 10.3390/urbansci8020046

Authors: Thato L. Maila Klára Czimre

The mainstream approach of regional integration impact assessments is mainly limited to assessing cross-border development projects/programmes. There is still a lack of critical assessment of how stakeholders at different institutional levels conceptualise the border. Local (municipal) strategic plans provide a reflection of the spatial imaginaries of stakeholders, perception planners, institutional power structures, and, to some extent meaning of the border to the local people. Integrated Development Plans (IDPs) in South Africa were adopted as an important development planning strategy in the post-apartheid era. IDPs of 49 borderland municipalities were systematically reviewed using the Key-Word-in-Context (KWIC) content analysis technique of the keyword ‘border’ to determine the importance of state borders in light of regional integration. Border security and management is one of the most common themes associated with the border. This suggested that borders were mainly perceived as threats and barely considered as a potential resource for cross-border cooperation or integration.

Urban Science doi: 10.3390/urbansci8020045

Authors: Hisham Abusaada Abeer Elshater

Pedestrianization is a significant discourse focus within urban planning and design research. However, the need for more clarity from the inconsistent use of near-synonym concepts or terms necessitates attention. This review article addresses this issue through a comprehensive analysis of synonym proliferation in pedestrian research, culminating in developing a robust “near synonymous toolkit” and “synonym selection framework”. Employing a linear snowball sampling technique, numerical analysis, and a qualitative content analysis-based summative approach, we examined sixteen peer-reviewed articles from 11 scientific journals. Through systematic classification based on consistency and variability, the summative review identifies three primary groups of near synonyms: dominant and widely utilized conceptual or terminological near synonymy in pedestrianization in the urban planning and design literature, near synonyms directly associated with a pedestrian, pedestrianize, and those indirectly linked to another conceptual or terminological synonymy. Further analysis delves into the nature of near-synonym concepts or terms, revealing three discernible patterns: the use of distinct, precise concepts or terms with near-synonym meanings, similar concepts or terms conveying divergent meanings, and the juxtaposition of unrelated vocabulary lacking semantic resemblance. These insights illuminate semantic relationships within the studied vocabulary, underscoring the importance of addressing inconsistency for clarity, precision, and coherence in scientific discourse. By offering practical guidance through the proposed framework, this study empowers academic researchers to navigate synonym selection adeptly, thereby enhancing the caliber of scholarly writing in urban planning and design.

Urban Science doi: 10.3390/urbansci8020044

Authors: Cheynesh Kongar-Syuryun Roman Klyuev Vladimir Golik Armine Oganesyan Danila Solovykh Marat Khayrutdinov Danila Adigamov

Humanity development is associated with higher spiritual and social behaviour and financial shape, which is an undeniable factor of urbanisation. Previously, in areas of georesource concentration, cities and settlements were formed with people exploiting these georesources. However, imperfect technologies lead to rapid depletion of reserves and industrial and environmental disasters, which affect the vulnerability of cities and the people living in them. The analysis of applied technologies has demonstrated that potash extraction is accompanied by a low recovery ratio, high mine accidents, and environmental problems. The principles of sustainable development of geo-resources for the creation of mining technologies that ensure industrial safety, environmental sustainability, and extending the life of the mining enterprise to save working places will reduce the vulnerability of cities. This article proposes the use of the room-and-pillar mining method with the replacement of natural supports with artificial ones. Three-stage stoping with backfill is considered. Numerical modelling has shown stabilisation of mining and geomechanical processes, which confirms the prospectivity of the method with backfill. For these purposes, this research presents a new backfill composition based on local industrial waste. Schemes of backfill preparation and feeding into the mined-out space are proposed. The proposed technology, based on the principles of sustainable development of georesources, is the foundation for an economically profitable, environmentally friendly, and socially responsible mining enterprise. The implementation of the principles of sustainable development of georesources will allow for the preservation of cities and reduce their vulnerability.

Urban Science doi: 10.3390/urbansci8020043

Authors: Raúl Pérez-Arévalo Juan Jiménez-Caldera José Luis Serrano-Montes Jesús Rodrigo-Comino Kevin Therán-Nieto Andrés Caballero-Calvo

Cities will face increasing challenges due to the impacts of global climate change, particularly in the form of cyclonic events, necessitating a deeper understanding and the establishment of effective response mechanisms at both institutional and citizen levels. In this research, we tested the efficiency of crowdsourcing in fostering participatory resilience and improving urban management. The main aim was to design novel and accurate proactive response strategies and mitigate the adverse effects of cyclonic wind events through volunteerism, citizen science, and urban science. To achieve this goal, as a case study, the municipality of Soledad, Colombia was used. This research employed a two-phase methodological approach: (i) initially evaluating the spatial distribution of emergency response resources, and (ii) developing a geo-referenced survey to map, systematize, and categorize data and outcomes. A total of three hundred and seventy-eight residents across five neighborhoods in Soledad, which have experienced a high frequency of atmospheric wind phenomena over the past two decades, were surveyed. The results indicate that the crowdsourcing mechanism effectively enhanced the empirical understanding of atmospheric wind events in Soledad, facilitating the establishment of a geo-referenced volunteer network for real-time responses. Additionally, this study shed light on previously undocumented challenges, in terms of reducing the number of people affected, and the actions that would lead to improved urban development to reduce the impacts of cyclonic events, emphasizing the significance of citizen science in the social construction of risk and disaster risk reduction (DDR) efforts.

Urban Science doi: 10.3390/urbansci8020042

Authors: Sandra Graus Tiago Miguel Ferreira Graça Vasconcelos Javier Ortega

Human-induced climate change has profound effects on extreme events, particularly those linked to global warming, such as heatwaves, droughts, and wildfires. These events disrupt ecosystems, emphasizing the imperative to understand the interactions among them to gauge the risks faced by vulnerable communities. Vulnerability levels vary primarily based on a community’s resources. Rural areas, especially in the Mediterranean region of Europe, are experiencing acute depopulation, creating a complex situation affecting various aspects of society, from economic declines to cultural heritage loss. Population decline in rural regions weakens resources, leading to the abandonment of built environments, fostering desertification, and elevating the risk of wildfires. Communities undergoing this deterioration process become exceptionally vulnerable, especially when dealing with and recovering from extreme natural phenomena. This review offers insights into the dynamics of these hazards and the predominant challenges in rural areas. By focusing on a topic that has received limited attention, the aim is to inform future research initiatives, ultimately improving risk assessment and mitigation strategies for these vulnerable communities.

Urban Science doi: 10.3390/urbansci8020041

Authors: Jesús Abelardo Licón-Portillo Karen Estrella Martínez-Torres Peter Chung-Alonso Eduardo Florencio Herrera Peraza

Urban greenery is a strategy to improve the thermal environment in urban areas affected by heat islands and global warming. These phenomena can harm the citizens’ quality of life. Researchers have investigated the thermal benefits of urban vegetation, but only a few have explored its complexities across diverse urban scales. Understanding these variations is critical for precise analysis, customized solutions, efficient resource allocation, and enhancing urban living quality while promoting sustainability and climate resilience. This paper reviews 250 scientific articles about the relationship between greenspace and the urban thermal environment published between 2010 and 2023 through urban scales. It summarizes the parameters and findings of greenery’s contribution to cooling the urban environment. The data reveal that most studies concentrated on the block scale, public open spaces, neighborhoods, parks, grouped vegetation, mixed arrangements, high vegetation, spatial parameters, and the use of air temperature data to report their findings. The cooling-effect evidence shows that the block scale has an average mitigation range of 0.7–2.7 °C, the neighborhood scale of 1.1–2.9 °C, and the city scale of 0.5–2.2 °C. Furthermore, it is critical to define reliable research methods and perform thorough software validation to assess model performance and establish guidelines for urban-landscape design accurately.

Urban Science doi: 10.3390/urbansci8020040

Authors: Wenqin Ren Linggui Wei Xinhai Lu Jinlong Xu Yun Qin

As a result of rapid urbanization in China, the spatial restructuring of towns and cities has significantly impacted urban compactness. The study of the spatio–temporal characteristics and driving mechanisms of urban compactness in central China is a strategic imperative and conducive to promoting regional sustainable development that is based on easing the contradiction between land resource supply and demand and reducing energy consumption. Therefore, this study focused on 80 prefecture-level cities in central China, utilizing barycenter model and GTWR model, among others, to analyze the spatio–temporal evolution pattern of urban compactness from 2006 to 2020 and its driving factors, with the aim of uncovering the intrinsic mechanisms behind enhancing urban compactness in the area. The results show the follows: (1) The urban compactness in central China has generally shown an upward trend, with a pronounced spatial clustering around provincial capital cities and the spatial changes in compactness predominantly concentrated in the north–south direction. (2) Various factors have influenced urban compactness, where government intervention and population aggregation present as bi-directional driving factors, while the effective use of land resources and high-quality industrial development, among others, present as positive driving factors. The spatio–temporal heterogeneity and agglomeration features of each driving factor are significant. (3) Further analysis indicates that the effective use of land resources is the primary factor in enhancing urban compactness, followed by technology. Therefore, we should adhere to the concept of compact cities and gradually promote the compactness of cities in central China based on the impact of the driving factors.

Urban Science doi: 10.3390/urbansci8020039

Authors: Dimitrios Kalfas Stavros Kalogiannidis Vasilios Ambas Fotios Chatzitheodoridis

Cultural and Creative Industries (CCIs) have emerged as powerful drivers of regional development and revitalization in Europe in recent years. This study explores the impact of CCIs on European regions, focusing on their economic, social, and cultural contributions. Drawing on extensive literature review and empirical research, this study examines the role of CCIs in job creation, GDP growth, innovation, social cohesion, cultural identity, urban regeneration, and the revitalization of declining areas. Data were collected using questionnaires distributed to 345 key players in the Cultural and Creative Industry of Greece. The findings reveal that CCIs significantly enhance job opportunities in European regions, with 74.4% of participants acknowledging their role in reducing unemployment and underemployment. Moreover, 71.4% recognized the substantial contribution of CCIs to regional GDP, highlighting that their economic importance is comparable to traditional industries. CCIs are seen as catalysts for social cohesion and cultural identity, as 75.6% of respondents attested to their role in uniting diverse communities. These results emphasize the sensitivity of CCIs to the existing cultural and historical context of these areas. Furthermore, this study identifies outcomes of regional development and revitalization, including improved education facilities (21.7%), preservation of regional cultural heritage (14.6%), and enhanced business relations (26.7%). Regression analysis demonstrated a strong association between CCIs and regional development and revitalization. This study provides comprehensive insights into the contributions of CCIs to regional development and revitalization in Europe. Policymakers, practitioners, and stakeholders can use these findings to harness the full potential of CCIs for sustainable and inclusive regional development.

Urban Science doi: 10.3390/urbansci8020038

Authors: Susanna Ghosh Mitra Ajay Chandra Arkalgud Ramaprasad

Evidence on urban governance has expanded but is fragmented and inadequate. It fails to articulate the complexity of urban governance in a way that would facilitate effective urban transitions. Using a conceptual-cognitive lens, this article describes a method to move away from governance solutions based on functional silos to those based on multidimensional, sustainable systems. Based on a combination of concepts from public policy, governance, public administration, and urban service management, it frames the problem of urban governance as a comprehensive conceptual-cognitive map of the domain. The study validates the framework through expert feedback and the mapping of the literature on urban governance in India between 2018 and 2020. The monad map and theme map emphasise the ontology’s applicability as a methodological tool for evidence generation. The analysis reveals a need to reconfigure urban governance pathways to work towards a sustainable future. The article concludes by offering new conceptual constructs of governance pathways to enhance the policies and practices that shape such transitions.

Urban Science doi: 10.3390/urbansci8020037

Authors: Muhammad Amin Andi Annisa Tenri Ramadhani Rasdiana Zakaria Zarah Arwieny Hanami Rahmi Mulia Putri Worradorn Phairuang Mitsuhiko Hata Masami Furuuchi

To evaluate carbonaceous components in the ambient air in the eastern region of Indonesia, 35 Total Suspended Particulate Matter (TSP) samples were collected on four characteristic roadsides on Sultan Alauddin Street, in Makassar City, using a high-volume air sampler. The average TSP concentration was 279.7 μg/m3, which exceeded both the National Ambient Air Quality Standard (NAAQS) of Indonesia and the World Health Organization (WHO) standards. The highest concentration reached 838.6 μg/m3 in the GR (gravel) site, which had the highest number of vehicles and was near a U-turn. TSP concentration was higher during peak hours (morning and late afternoon) than off-peak hours (noon). The main component of the total carbon (TC) fraction was organic carbon (OC), which showed a strong correlation with elemental carbon (EC) (r values for the morning, noon, and late afternoon were 0.89, 0.87, and 0.97, respectively), indicating that the carbon components were derived from common sources. TSP had a strong correlation with carbon components, except for char-EC. OC vs. soot-EC and EC vs. soot-EC also correlated well, suggesting the dominant influence of vehicle exhaust emissions. Non-exhaust emissions had a slight influence during peak hours, particularly at the GR site.

Urban Science doi: 10.3390/urbansci8020036

Authors: Tatiana Petrova Andrey Grunin

(1) Background: As global urbanization accelerates, effective mobility in metropolitan areas becomes crucial. City transportation systems, often congested, have diverse transit modes and numerous access points. Our study focuses on the transportation accessibility of the various districts within Moscow, a city with a population of over 12 million and covering approximately 900 square kilometers. (2) Methods: The city was divided into 2 km-by-2 km squares, and we used both personal and public transportation data. This allowed us to analyze spatiotemporal mobility patterns, calculating travel times and distances between these defined centroids. Our assessment not only considered transportation to key hubs, such as major train stations, airports, and the city center, but also weighed the integral interconnectedness of individual districts. Various time frames, including morning and evening peak hours and quieter weekend periods, were used. (3) Results: The study pinpointed the most and least convenient districts for various transit options across the city. Our findings underscore the intricacies of daily commuting patterns in Moscow, highlighting bottlenecks and areas for potential infrastructure enhancement. (4) Conclusions: Using Moscow’s case, we demonstrated the methodology to better understand and improve strategic urban planning and intelligent mobility solutions, aiming to bolster transportation accessibility.

Urban Science doi: 10.3390/urbansci8020035

Authors: Péter Orgoványi Tamás Karches

Water utilities are like arteries for the urban environment and, in order to satisfy water demand, extensive design and operation work applying modeling tools is required. An effective tool can be operated but only if the input, such as real-world consumption data, is built into the system. This study aims to present a GIS-based technique to align the consumption data to a simplified network topology. This study investigates four distinct methods, revealing noteworthy outcomes. The geocoding of consumption locations facilitates their seamless integration with model nodes through geospatial methods. Additionally, effective water consumption allocation is achieved by delineating influence ranges around each node. When comparing the zoning based on the street approach and the arithmetic average with the benchmark manual range of influence approach, substantial errors appear of approximately 190% and 230%, respectively. Addressing the impracticality of the manual method, especially for larger networks, this study advocates for the use of Thiessen polygons to delineate influence areas. In conclusion, this study presents a holistic approach to aligning consumption data with simplified network topologies for enhanced water utility modeling.

Urban Science doi: 10.3390/urbansci8020034

Authors: Altynbek Khamit Nurlygul Utarbayeva Gulnur Shumakova Murat Makhambetov Akzhunus Abdullina Aigul Sergeyeva

The growth of a city causes a complex of problems related to the increase in the pollution of the urban environment and the shortcomings in its improvement. The territory of the modern city is characterized by the highest man-made loads on the natural environment. The main problems are the low level of green areas, as well as the reduction in trees in many areas, which does not allow the city residents to live comfortably. Currently, Earth remote sensing methods using the vegetation index (NDVI) are one of the dominant means of assessing the condition. In this regard, the purpose of this study is to assess the ecological condition of the green zone in the city of Aktobe. To solve this problem, complex assessment was carried out, including statistical data analysis and the processing of satellite images by calculation of the NDVI for green areas and their mapping. The article analysis lies in the field of development and landscaping of the urban environment of Aktobe. A description of the current state of the system of green areas in the city was provided. On the basis of the data of remote sensing of the earth, the spatial features of the separate classes of the total phytomass of green plants within the city of Aktobe and the spatial features of the territorial zones of the city were determined during the differentiation of green plantings. A study of the dynamics of changes in the vegetation cover index (NDVI) during 2010, 2016, and 2023 allowed us to identify trends in the development of green spaces and their changes over time due to city growth and other factors. The data obtained as a result of the research can be used in the justification of urban planning decisions, landscape planning of the ecological infrastructure of the city, and optimization of landscaping systems.

Urban Science doi: 10.3390/urbansci8020033

Authors: Diana Enab Zahraa Zawawi Sameh Monna

The sustainable urban design of residential neighborhoods plays an important role in the efforts to achieve the sustainable development goals and alleviate the effects of climate change. This paper aims to develop a model for the sustainable urban design of residential neighborhoods, taking into account the local condition in Palestinian territories. This model is built on various international neighborhood sustainability assessment (NSA) tools, based on the review of existing assessment tools, to study the sustainability status of Palestinian neighborhoods, and to develop a sustainable indicator model for local sustainable neighborhood assessment. Computer tools like Urbano and GIS tools as well as qualitative assessment methods are used. Results from the case study showed that the satisfaction of the preferred location indicator was not sufficient to maintain its sustainability. The assessment of measured indicators found that weaknesses were almost double the count of the satisfactory indicator. Moreover, some indicators from the (NSA) tools were partially or completely met, and some gaps appeared because of the lack of strengths in the selected indicators of the international tools when used for local social, ecological and governmental aspects, and there are issues in the inclusion of economic and environmental elements in current urban configurations. The proposed local model offers valuable insights for local governments, municipalities, and construction developers.

Urban Science doi: 10.3390/urbansci8020032

Authors: Federica Paragliola Gabriella Esposito De Vita Brad Deal Marina Rigillo Pasquale De Paola Carmelina Bevilacqua

This paper delves into integrating technological and social innovations in design through a community-oriented, resilient approach, emphasizing care and sustainability. It explores resource management’s application to the local environment and education, focusing on adaptable spaces, active collaboration, and innovative solutions for environmental and social challenges. Developed within the EU Marie Curie-funded TREnD project, it combines ‘transition’ and ‘resilience-building’ processes, framing co-creation solutions and tailored innovation policies. The research group conducted theoretical and empirical research in the EU and USA, introducing a place-sensitive approach in managing transition through technological diversification. A case study in Ruston (LA, USA), Camp Alabama, exemplifies inclusive design through circular design and low-tech construction, creating adaptable pavilions for the community. Collaborating with MedCamps of Louisiana, the project designs a shared and inclusive space within budget constraints, emphasizing the pivotal role of architecture in advancing community well-being. Employing a bottom-up approach, the practice engages users, students, teachers, and local stakeholders in co-design, resulting in a people-based citadel of care. Outcomes feature high-design technological projects produced through a “low-tech” approach, allowing adaptability in urban regeneration. The 2023 project received awards, showcasing progress and the potential for replication through standardized methodology. Additional outcomes include educational benefits, training architects for societal needs, and regenerating urban areas by exploiting local resources.

Urban Science doi: 10.3390/urbansci8020031

Authors: Fátima Matos Silva Marta Arreiol Ana Fragata

Pollution is a constant threat to cultural heritage, mainly affecting its constituent materials, and it is urgent to implement mitigation and adaptation measures to prevent pollution. The city of Porto currently has several initiatives that aim to prepare this municipality for climate change adaptation. This article aims to study the impact of pollution on built heritage, as well as the initiatives that are being implemented in the Municipality of Porto (as part of the Portuguese Camino to Santiago) to protect heritage, based on three case studies, namely Carmelitas Church, São João Novo Church, and Vitória Church, contextualising them over time and understanding their structure and materials. The methodology is based on an anomalies survey through local and surrounding photographic records to assess the effects of pollution, following the model developed at Carmo Church in Olinda, Pernambuco. This study’s results showed that the stone facade of Carmelitas Church, which is in a busier area of the city, is much more deteriorated when compared with the other case studies due to the direct impact of pollution.

Urban Science doi: 10.3390/urbansci8020030

Authors: Humberto Barrera-Jiménez Juan Pineda-Jaramillo

This study presents a conceptual framework proposal for integrating urban freight initiatives (UFIs), or city logistics initiatives, into urban planning and urban management (UPUM) land use and infrastructure systems. As a novel approach, this framework integrates three components: Firstly, a conceptual basis on three economic geography theory principles—location, agglomeration, and urbanisation. Secondly, spatial analysis and subsequent clustering integrate companies’ spatial positions, their proximity to other companies, their freight intensity, and the characteristics of the zonal road infrastructure; these clusters are defined as freight traffic zones (FTZs). Thirdly, a functional yet strategic UFI clustering or grouping is proposed to work in an optimised and integrated manner with the FTZs’ opportunities for efficiency and reduced externalities. It is expected that the integrated result of these three components can serve to optimise freight initiatives and road infrastructure from a city governance perspective, reduce freight externalities, and function as a stakeholder cooperation tool from government-led, policy-driven perspectives. This research also identifies and characterises various variables influencing the emergence and existence (planned or organic) of FTZs and shows how these could be incorporated into high-level UPUM processes. Although it is deemed that the principles and methodological approach followed here could be common to urban areas, an example for the Metropolitan Area of the Aburra Valley (MAAV), in Colombia, is presented as an initial case study. Conclusively, this paper introduces a pioneering methodology for integrating UFIs into city or metropolitan governance, offering guidance for policymakers to promote sustainable freight systems.

Urban Science doi: 10.3390/urbansci8020029

Authors: Yunpeng Ma Ferenc Mészáros

This article reviewed the urban vehicle access control policies derived from disparate spatiotemporal dimensions that aim to eliminate the negative externalities of traffic caused by urbanization. Urban access regulations are important tools often required to achieve the sustainable mobility vision of cities. Employing a systematic literature review methodology, this review summarized and analyzed various urban access control policies to enlighten policymakers and future scientific research. The results indicate that combinations of multiple-dimensional restriction policies (including inter-policy and intra-policy) have more significant effects than implementing a single policy. Classified according to their objectives, control policies were discussed in terms of their benefits and limitations. The authors are inspired to propose and describe five paradoxes of urban access control policies.

Urban Science doi: 10.3390/urbansci8020028

Authors: Lahouari Bounoua Mohamed Amine Lachkham Noura Ed-Dahmany Souad Lagmiri Hicham Bahi Mohammed Messouli Mohammed Yacoubi Khebiza Joseph Nigro Kurtis J. Thome

During the last decades, Morocco has recorded substantial urbanization and faced challenges related to urban sprawl and encroachment on fertile lands. This paper reviews several studies assessing urban sustainability development in 27 Moroccan urban areas using the UN’s Sustainable Development Goal (SDG) indicator 11.3.1, i.e., the ratio of Land Consumption Rate (LCR) to Population Growth Rate (PGR). Among the 27 urban areas reviewed, analysis of SDG 11.3.1 data revealed that only 7 exhibited trends towards sustainable urban development, while the remaining 20 showed a divergence from the sustainability objectives. We analyze the studies, conducted between 2020 and 2023, describing in depth the relationship between LCRs and PGRs, and provide a comprehensive summary of the SDG 11.3.1 outcome, discussing along the way methodological variations, and introducing a new concept for the evaluation of urban land consumption. The review reveals disparate regional urban development trends, emphasizing the need for local land tenure rules. Additionally, the study discusses how the SDG 11.3.1 reacts under the influence of several parameters such as land characteristics, climate, and geographic location. While the study acknowledges the limitations of SDG 11.3.1, it found that the indicator provides valuable insights into trends and comparisons, and should offer assistance to stakeholders, urban planners, and decision makers in their pursuit of sustainable development. However, these identified limitations underscore the need for a more comprehensive and multidimensional urban sustainability development indicator, capable of better addressing the complexities of the urban environment.

Urban Science doi: 10.3390/urbansci8020027

Authors: Yochai Eisenberg Mackenzie Hayes Amy Hofstra Delphine Labbé Robert Gould Robin Jones

Safely walking or wheeling in a wheelchair in the community is a civil and human right. Some progress has been made in the US towards making walking/wheeling paths more accessible for people with disabilities through the construction of new curb ramps, fixing sidewalk barriers, and installing accessible pedestrian signals. However, pedestrians with disabilities continue to be limited by infrastructure barriers on sidewalks and streets. To encourage progress and government transparency, we developed a set of performance metrics for local governments to monitor and report their progress in implementing barrier removal plans, called Americans with Disabilities Act (ADA) transition plans. We used the five-step Nominal Group Technique to systematically develop and prioritize a set of performance metrics with an expert panel of ADA coordinators, disability organizations, and state and federal Department of Transportation staff. The research resulted in obtaining 53 metrics across five goals and 14 objectives that can be used to measure all phases of implementation and are intended to be customized to fit different community contexts and capacities. The metrics could be used by federal and state transportation agencies, as well as internationally, with some adaptation to ensure that adequate progress in barrier removal is being made. Local governments can use the metrics to document and communicate their progress and effectively reduce ADA compliance litigation concerns.

Urban Science doi: 10.3390/urbansci8020026

Authors: Alessandro Muolo Barbara Zagaglia Alvaro Marucci Francisco Escrivà Saneugenio Adele Sateriano Luca Salvati

To delineate new directions of urban development in a context of demographic shrinkage in Southern Europe, the present study illustrates a comparative analysis of the demographic balance in metropolitan Athens, Greece (1956–2021). The analysis delineates short-term and long-term dynamics of the natural population balance, considering the impact of the Great Recession and COVID-19 pandemic, and assuming a contemporary increase in gross mortality rates and a marked fertility reduction associated with birth postponement. To address such objectives, we have compared the natural growth of population (the ratio of the total number of births to deaths) at ten year intervals (1956, 1960, 1970, 1980, 1990, 2000, 2009, 2019, 2020, 2021) in 115 municipalities of metropolitan Athens, controlling for the local context. The empirical results of descriptive statistics, spatial analysis, correlation statistics, non-parametric inference, and exploratory multivariate techniques outline the indirect impact of COVID-19 on population dynamics, being in some ways additive to the already observed effects of the Great Recession, reinforcing demographic shrinkage in specific local contexts. The COVID-19 pandemic and the Great Crisis likely accelerated the typical outcomes (population aging and low fertility) of the second demographic transition in Greece. These dynamics are associated with more volatile (and possibly reduced) immigration flows and with enhanced emigration, fueling urban shrinkage and a progressive economic decline of metropolitan regions, as our evidence suggests for Athens. Additional research should ascertain the aggregate, indirect role of pandemics in population dynamics as a proxy of urban and regional decline in European regions exposed to long-term aging.

Urban Science doi: 10.3390/urbansci8020025

Authors: Itai Beeri Meirav Aharon Gutman Jonathan Luzer

We explore two complementary mechanisms that are designed to work together to reduce spatial inequality—redrawing municipal borders and the redistribution of tax resources. This study’s methodology is based on the empirical analysis of 376 decisions of boundary commissions and permanent geographic commissions that resulted in land transfers and redistributed tax resources in Israel. Our findings indicate that the impact on spatial inequality is mixed. Over time, the amount of land transferred to low socio-economic municipalities has increased, provided that these municipalities are located in the center of the country, or have a Jewish ethnic majority, are politically affiliated with the Minister of the Interior and the ultra-Orthodox right, are financially sound, and have a large population and a large area. In contrast, the redistribution of tax resources provides revenue increases for low socio-economic municipalities that are in the periphery, largely populated by Arabs, are unaffiliated with powerful politicians, are financially weak and small in size and population.

Urban Science doi: 10.3390/urbansci8020024

Authors: Mauro F. Pereira Paula Santana David S. Vale

Road network connectivity determines the accessibility of urban activities for pedestrians, while streetscape characteristics have an impact on route attractiveness. Methods used to measure the influence of connectivity and streetscape characteristics on walking behavior differ substantially, while trip purpose is a key factor. This paper explores the respective contributions of network connectivity and streetscape features to explain leisure walking and utilitarian trips on 740 street segments in Santarém (Portugal). The indicators cover the most commonly used factors in walkability indexes, such as density, diversity, design, and accessibility. The streetscape features measure imageability, enclosure, human scale, transparency, and complexity. The walking trip information was collected via survey. The results show that connectivity measures have a greater overall explanatory power for both trip motives. However, the findings highlight the need to consider a variety of design indicators to explain walking behavior due to the higher explanation power of the model with two types of indicators.

Urban Science doi: 10.3390/urbansci8020023

Authors: Zongcheng Yue Chun-Yan Lo Ran Wu Longyu Ma Chiu-Wing Sham

In urban environments, semantic segmentation using computer vision plays a pivotal role in understanding and interpreting the diverse elements within urban imagery. The Cityscapes dataset, widely used for semantic segmentation in urban scenes, predominantly features urban elements like buildings and vehicles but lacks aquatic elements. Recognizing this limitation, our study introduces a method to enhance the Cityscapes dataset by incorporating aquatic classes, crucial for a comprehensive understanding of coastal urban environments. To achieve this, we employ a dual-model approach using two advanced neural networks. The first network is trained on the standard Cityscapes dataset, while the second focuses on aquatic scenes. We adeptly integrate aquatic features from the marine-focused model into the Cityscapes imagery. This integration is carefully executed to ensure a seamless blend of urban and aquatic elements, thereby creating an enriched dataset that reflects the realities of coastal cities more accurately. Our method is evaluated by comparing the enhanced Cityscapes model with the original on a set of diverse urban images, including aquatic views. The results demonstrate that our approach effectively maintains the high segmentation accuracy of the original Cityscapes dataset for urban elements while successfully integrating marine features. Importantly, this is achieved without necessitating additional training, which is a significant advantage in terms of resource efficiency.

Urban Science doi: 10.3390/urbansci8010022

Authors: Eda Ustaoglu Brendan Williams

High-density urban development is promoted by both global and local policies in response to socio-economic and environmental challenges since it increases mobility of different land uses, decreases the need for traveling, encourages the use of more energy-efficient buildings and modes of transportation, and permits the sharing of scarce urban amenities. It is therefore argued that increased density and mixed-use development are expected to deliver positive outcomes in terms of contributing to three pillars (social, economic, and environmental domains) of sustainability in the subject themes. Territorial quality of life (TQL)—initially proposed by the ESPON Programme—is a composite indicator of the socio-economic and environmental well-being and life satisfaction of individuals living in an area. Understanding the role of urban density in TQL can provide an important input for urban planning debates addressing whether compact development can be promoted by referring to potential efficiencies in high-density, mixed land use and sustainable transport provisions. Alternatively, low-density suburban development is preferable due to its benefits of high per capita land use consumption (larger houses) for individual households given lower land prices. There is little empirical evidence on how TQL is shaped by high-density versus low-density urban forms. This paper investigates this topic through providing an approach to spatially map and examine the relationship between TQL, residential expansion, and densification processes in the so-called NUTS2 (nomenclature of terrestrial units for statistics) regions of European Union (EU) member countries. The relative importance of each TQL indicator was determined through the entropy weight method, where these indicators were aggregated through using the subject weights to obtain the overall TQL indicator. The spatial dynamics of TQL were examined and its relationship with residential expansion and densification processes was analysed to uncover whether the former or the latter process is positively associated with the TQL indicator within our study area. From our regression models, the residential expansion index is negatively related to the TQL indicator, implying that high levels of residential expansion can result in a reduction in overall quality of life in the regions if they are not supported by associated infrastructure and facility investments.

Urban Science doi: 10.3390/urbansci8010021

Authors: Carmine Massarelli Vito Felice Uricchio

This study focuses on the analysis, implementation and integration of techniques and methods, also based on mathematical algorithms and artificial intelligence (AI), to acquire knowledge of some phenomena that produce pollution with an impact on environmental health, and which start from illicit practices that occur in urban areas. In many urban areas (or agroecosystems), the practice of illegal waste disposing by commercial activities, by abandoning it in the countryside rather than spending economic resources to ensure correct disposal, is widespread. This causes an accumulation of waste in these areas (which can also be protected natural areas), which are then also set on fire to reduce their volume. Obviously, the repercussions of such actions are many. The burning of waste releases contaminants into the environment such as dioxins, polychlorinated biphenyls and furans, and deposits other elements on the soil, such as heavy metals, which, by leaching and percolating, contaminate water resources such as rivers and aquifers. The main objective is the design and implementation of monitoring programs against specific illicit activities that take into account territorial peculiarities. This advanced approach leverages AI and GIS environments to interpret environmental states, providing an understanding of ongoing phenomena. The methodology used is based on the implementation of mathematical and AI algorithms, integrated into a GIS environment to address even large-scale environmental issues, improving the spatial and temporal precision of the analyses and allowing the customization of monitoring programs in urban and peri-urban environments based on territorial characteristics. The results of the application of the methodology show the percentages of the different types of waste found in the agroecosystems of the study area and the degree of concentration, allowing the identification of similar areas with greater criticality. Subsequently, through network and nearest neighbour analysis, it is possible to start targeted checks.

Urban Science doi: 10.3390/urbansci8010020

Authors: Marbrisa N. R. das Virgens Patricia L. Brito Ricardo Lustosa Julio Pedrassoli Philipp Ulbrich João Porto de Albuquerque Marcos Rodrigo Ferreira Fernando G. Severo Alessandra da S. Figueiredo Marcel Fantin Hussein Khalil Federico Costa

Cartographic resources play a crucial role in facilitating communication across various sectors, including research projects focused on low-income communities. Despite this, some researchers still adhere to colonialist and exploitative approaches. This study aims to promote equitable university–community interaction though cartographic resources, aid academic and vulnerable community users in choosing a better platform for their work, and provide insights to developers for improving the platforms to better serve the user profiles of community members. To achieve this, we examined the use of cartographic resources in five projects within low-income communities (commonly referred to as favelas or so-called “slums”) in three Brazilian cities, all guided by equitable principles. The study unfolds in four stages: (i) data collection from documents and interviews; (ii) systematization into seven analytical categories—cartographic resources, data, personnel, processes, equipment, general objectives, and specific objectives; (iii) analysis of eight cartographic resources; and (iv) a critical examination of the outcomes. The synthesis of the collected information identified 65 characteristics/demands, with 17 common to all projects, including vector feature creation, thematic map design, printed map usage, and satellite imagery. We also identified 53 geographic information system (GIS) functionalities required for the projects, predominantly related to vector data generation and editing. The outcomes demonstrate the benefits of project methodologies, contributing to a decolonial university–community praxis. Additionally, they underscore the potential of digital cartographic resources, functioning not solely as data collection tools but also as powerful instruments that empower slum residents to advocate for improvements and foster local development.

Urban Science doi: 10.3390/urbansci8010019

Authors: Valeria Placidi Michele Cenci Francesco Castellani Marta Falasca

The increasingly complex dynamics of urban planning require an innovative approach to land use suitability analyses and environmental assessments. Traditionally, these disciplines have provided a critical foundation for sustainable urban development, but the current acceleration of change requires renewed attention to technology and innovation. The integration of advanced territorial data is emerging as a key element to enrich the analysis and mapping of the landscape. This type of data allows for an updated and objective view of reality, providing urban planners and decision makers with a dynamic tool to quickly adapt to evolving urban needs. The use of new technologies increases the accuracy and effectiveness of these analyses, enabling more efficient and sustainable urban planning. This article explores how innovation and technology are transforming the field of land use suitability analyses and environmental assessments and provides real-life examples of how advanced territorial data can be used to model the landscape more accurately in the case of Umbria, a region in Italy characterised by a rich cultural history and picturesque landscapes. Umbria, with its unique geography and delicate environmental balance, provides a fertile ground for exploring how the implementation of territorial databases can contribute to the responsible management of industrial activities. This case study represents an important first step in applying a QGIS and Python geoprocessing approach to these issues. The methodology starts with the creation of territorial data and includes a post-processing phase using Python. This integrated approach not only provides an updated and objective view of the landscape but also represents the first instance in the literature of a study applied to such a small and environmentally rich region as Umbria.

Urban Science doi: 10.3390/urbansci8010018

Authors: Anthony Boanada-Fuchs Monika Kuffer Jota Samper

Slums are a structural feature of urbanization, and shifting urbanization trends underline their significance for the cities of tomorrow. Despite their importance, data and knowledge on slums are very limited. In consideration of the current data landscape, it is not possible to answer one of the most essential questions: Where are slums located? The goal of this study is to provide a more nuanced understanding of the geography of slums and their growth trajectories. The methods rely on the combination of different datasets (city-level slum maps, world cities, global human settlements layer, Atlas of Informality). Slum data from city-level maps form the backbone of this research and are made compatible by differentiating between the municipal area, the urbanized area, and the area beyond. This study quantifies the location of slums in 30 cities, and our findings show that only half of all slums are located within the administrative borders of cities. Spatial growth has also shifted outwards. However, this phenomenon is very different in different regions of the world; the municipality captures less than half of all slums in Africa and the Middle East but almost two-thirds of all slums in cities of South Asia. These insights are used to estimate land requirements within the Sustainable Development Goals time frame. In 2015, almost one billion slum residents occupied a land area as large as twice the size of the country of Portugal. The estimated 380 million residents to be added up to 2030 will need land equivalent to the size of the country of Egypt. This land will be added to cities mainly outside their administrative borders. Insights are provided on how this land demand differs within cities and between world regions. Such novel insights are highly relevant to the policy actions needed to achieve Target 11.1 of the Sustainable Development Goals (“by 2030, ensure access for all to adequate, safe and affordable housing and basic services, and upgrade slums”) as interventions targeted at slums or informal settlements are strongly linked to political and administrative boundaries. More research is needed to draw attention to the urban expansion of cities and the role of slums and informal settlements.

Urban Science doi: 10.3390/urbansci8010017

Authors: Weiwen Zhou Elise Miller-Hooks Sagar Sahasrabudhe

Increasing popularity in gig employment has enabled the use of an at-will workforce of self-contracted couriers to participate in many service industries serving urban areas. This gig workforce has come to play a particularly important role in the growing meal delivery service industry. Hiring at-will couriers for delivery job fulfillment can decrease the costs of satisfying nonstationary demand. However, at-will workers can show up for work at their will and without notice. Thus, this puts the service performance of the delivery company that relies on effective workforce management to ensure timely delivery of orders at risk. This work investigates the tradeoffs between using such an at-will workforce of couriers in place of a fixed fleet of drivers in servicing a meal delivery environment. A stochastic DES with tabu search heuristic and embedded ejection chain approach for optimal delivery job bundling, routing, and assignment was developed and run within a rolling horizon framework to replicate the dynamics of the meal delivery setting. Condition Value at Risk (CVaR) is adopted to measure the risk of late delivery due to uncertainty in workforce availability. Results from a numerical case study with 25 restaurants and 613 orders arriving over a 14-h period show tradeoffs from using at-will couriers in place of a comparable fixed fleet of drivers in terms of delivery resource utilization, efficiency risk of failing to satisfying orders and risk of significantly late delivery. Results indicate that using at-will couriers for meal delivery can enable more efficient use of delivery resources, but at the cost of a higher risk of late delivery, and sometimes intolerably late delivery, as compared to using a fixed fleet of drivers to fulfill orders.

Urban Science doi: 10.3390/urbansci8010016

Authors: Sarah A. Chauncey H. Patricia McKenna

The purpose of this study is to advance conceptual understandings of the cognitive flexibility construct, in support of creativity and innovation in smart city civic spaces, employing the use of large language model artificial intelligence chatbots such as ChatGPT. Based on a review of the research and practice literature, this study formulates a conceptual framework for cognitive flexibility in support of creativity and innovation in AI environments, adaptable to smart cities. A research design is used that employs AI as a design material, in combination with a topical inquiry involving boundary setting and perspective taking, to co-pilot an exploration with ChatGPT-3.5/4. This study operationalizes the framework for applications to learning approaches, addressing flexibility and inclusivity in smart city spaces and regions. With the rapid evolving of chatbot technologies, ChatGPT-4 is used in the exploration of a speculative real-world urban example. This work is significant in that AI chatbots are explored for application in urban spaces involving creative ideation, iteration, engagement, and cognitive flexibility; future directions for exploration are identified pertaining to ethical and civil discourse in smart cities and learning cities, as well as the notion that AI chatbots and GPTs (generative pre-trained transformers) may become a zeitgeist for understanding and learning in smart cities.

Urban Science doi: 10.3390/urbansci8010015

Authors: Leonardo Seabra Furtado Raimundo Vitor Santos Pereira Everaldo Barreiros de Souza

This work contributes to the studies on landscape mapping induced by human pressure directly related to the urbanization process, whose approach is based on the concept of hemeroby adapted to the metropolitan area of Belém in the eastern Amazon. The mapping results using 1985 and 2021 Landsat satellite data indicated that the artificial coverage characterized as medium to the high urban system (polyhemerobic and metahemerobic degrees) has increased by almost 17% toward northern districts and Outeiro/Mosqueiro islands, while the natural vegetation cover suppression (ahemerobic degree) was around 11%. In addition, we investigated the impacts of urban expansion on seasonal (WET from January to April and DRY from July to November) surface air temperature (minimum TN and maximum TX) patterns. From statistical comparisons between 18-year samples (2004/2021 to 1985/2002), we find evidence of a current significantly warmer climate, with a notable indication of higher surface temperature over densely urbanized areas compared to lower values over natural areas. In the TX climatology, particularly for the DRY regime, we identified a pattern similar to the classic heat island model with concentric isotherms reaching a maximum center over the more urbanized continental region of Belém and a thermal decrease at the edges. Therefore, the findings of this work are convincing that Belém already faces the direct impacts of urbanization on the local climate, so it is crucial to develop government strategies aimed at taking action to mitigate socioenvironmental risks and threats to the well-being of urban populations.

Urban Science doi: 10.3390/urbansci8010014

Authors: Seyed Ali Alavi Saeed Esfandi Amir Reza Khavarian-Garmsir Safiyeh Tayebi Aliakbar Shamsipour Ayyoob Sharifi

This research aims to analyze the relationship between environmental justice and urban green space connectivity in Tehran, Iran. The evaluation of green space connectivity in this study is conducted through two distinct cost layers: one aimed at enhancing existing connections and another focused on establishing new green spaces. Key factors influencing connectivity, extracted from the relevant literature, were identified to facilitate this analysis. Employing graph theory and least-cost analysis, the results determined critical resistance factors, current connectivity and cost status, the varying degrees to which different districts benefit from green space ecosystem services, and the most effective routes for establishing green corridors. Research findings highlight significant disparities in access to these services, particularly in the underserved central districts of Tehran. Moreover, spatial analysis reveals a higher potential for enhancing east–west ecosystem service corridors due to the higher density of green hubs and lower costs in this orientation, while north–south connectivity faces more challenges. By exploring land use/land cover, and physical and socio-economic factors affecting urban green space connectivity, this study provides urban and environmental planners with a novel methodology and comprehensive insights for effective decision making, resource allocation, and land use planning.

Urban Science doi: 10.3390/urbansci8010013

Authors: Esraa Othman Iva Cibilić Vesna Poslončec-Petrić Dina Saadallah

Environmental noise is a major environmental concern in metropolitan cities. The rapid social and economic growth in the 20th century is not always accompanied by adequate land planning and environmental management measures. As a consequence of rapid urbanization processes, cities are facing an increase in noise pollution. Noise is being recognized as a serious environmental problem and one which must be accounted for in a sustained development policy designed to improve the quality of life for citizens. Therefore, the monitoring of noise is a crucial aspect of urban planning to allow urban planners to create harmonious and livable environments for communities worldwide. This research aims at assessing the noise levels and associated sources of noise in downtown areas through the involvement of crowdsourcing techniques. The incorporation of noise mapping and increased public awareness are achieved by a framework that enables a comparative scheme between two cities: Alexandria, Egypt and Zagreb, Croatia. The methodology depends on combining crowdsourcing techniques using mobile applications and geographic information system (GIS) tools to detect and analyze noise. Finally, this research provides a comparison between the two cities using the adopted methodology and introduces recommendations to enhance urban planning decisions.

Urban Science doi: 10.3390/urbansci8010012

Authors: Tally Hatzakis Laura Alčiauskaitė Alexandra König

Moving is an indispensable component of travelling. This paper discusses the experiences of persons with disabilities when moving around cities on foot or wheels, based on research conducted during the EU-funded project TRIPS. Findings comprise participants’ vignettes from 49 interviews in seven European cities, views on smart assistive technologies (e.g., Augmented Reality) from a pan-European quantitative survey, and design concepts related to walking based on a co-creation workshop that actively engaged persons with various types of disabilities in ideation. Findings suggest that people need reliable and clear wayfaring information on accessible travel routes featuring the coordinated design of streets, pavement, stops, stations, and vehicles to ensure seamless, step-free, and obstacle-free access, as well as disability-sensitive management of disruptions such as maintenance works, for example. Findings also suggest that users are open to using any assistive technology that can enable them to live more independently, assuming it is accessible, and are keen to co-innovate. Finally, we make recommendations for policy changes that can facilitate the redesign of urban infrastructure to make cities more accessible for people with disabilities and drive structural changes in urban planning.

Urban Science doi: 10.3390/urbansci8010011

Authors: Nigel K. Downes Harry Storch Pham Quoc Viet Nguyen Kieu Diem Le Canh Dinh

This paper contributes to the understanding of the recent urban development of Ho Chi Minh City, Vietnam. Previous studies have aimed at quantifying the city’s spatial growth yet have disregarded its inherent morphological and socio-economic heterogeneity. To overcome this knowledge gap, we employ an urban structure type approach for the spatially explicit quantification of urbanisation patterns for the period 2010–⁠2020, categorising 77,000 blocks across the entire administrative area of 2095 km2. The approach allows us to understand the basic underlying processes of urbanisation, both quantitatively and qualitatively, and the main growth corridors along the rural–urban gradient. By contextualizing and combining our findings within current literature and official planning reports, we discern between traditional urban growth and the contemporary new town development patterns, highlighting their driving forces and policy implications. Incremental plot-by-plot development along the northwest development corridor is observed as the principal mode of urban development, whilst bypass urbanisation is seen along both the eastern and southern development corridors. Our block-based results highlight the city’s key growth challenges and provide insights on a scale that is meaningful for official spatial and infrastructure planning, and periodic analysis and monitoring. As far as the authors are aware, this is the first time that an urban structure type approach was applied to understand the rapid urban growth dynamics of an emerging megacity in Southeast Asia.

Urban Science doi: 10.3390/urbansci8010010

Authors: Anas A. Makki Ammar Y. Alqahtani

This study analyzes the barriers to developing smart cities (SCs) using the decision-making trial and evaluation laboratory (DEMATEL) approach. The primary objective is to identify, classify, and assess the main barriers hindering the progress of SCs. Through an extensive literature review, twelve main barriers were identified. The DEMATEL approach models and analyzes the relationships among these barriers based on expert input. The results reveal that technical problems, a lack of infrastructure, and high costs are classified as cause barriers. Security and privacy concerns and the absence of coordinated planning are classified as effect barriers. This study emphasizes the need for established criteria and iterative development requirements. Although the influence of knowledge and skills gaps and a lack of awareness is less significant, these aspects still require attention. The findings suggest that a comprehensive approach focusing on technical solutions, infrastructure development, strategic planning, and cybersecurity measures can effectively overcome barriers. Regular evaluation of barrier dynamics is crucial for implementing adaptive measures. The results provide decision-makers with a valuable model to address the challenges and foster the efforts of SC stakeholders.

Urban Science doi: 10.3390/urbansci8010009

Authors: Sean Bradley Israa H. Mahmoud

Over the last few years, community empowerment has become a central focus when discussing the sustainability of large-scale urban regeneration processes, especially those related to the implementation of nature-based solutions. In this article, the authors describe the experience of the CLEVER Cities project in the city of London, by looking at the dynamics of the early stages of co-creation and the implications on co-governance, motivation and policy. Particular attention is given to the importance of carefully evaluating the project context to guide where emphasis is given on the use of specific co-creation strategies such as building trust, raising awareness or networking. In this case, a set of strategies emerge that are a response to several factors but are strongly influenced by the backdrop of limited social structuring encountered in South Thamesmead, South London. The methods are derived based on a qualitative and looped observation approach over three phases applied to three urban living labs in the project area. Finally, to structure the results, an iterative co-production of knowledge approach is used to cluster the strategies into ten more synthetic recommendations based on collaborative governance, communication and capacity building, as well as incentives and motivation. Further, guidance is given by highlighting priorities to inform policy and place-based planning actions.

Urban Science doi: 10.3390/urbansci8010008

Authors: Rita Nicolau Beatriz Condessa

This study seeks to contribute to the definition of a “no net land take” policy by 2050 for Portugal’s second-largest metropolitan region (AMP, Porto Metropolitan Area) while sensitising those involved in regional and local planning to the European target. Based on an assessment of land use changes in AMP and its municipalities during 2007–2018, soil sealing levels in 2018 and population evolution, the study quantifies the processes that may impart achievement of the 2050 objective and identifies the regional drivers of net land take, to support the definition of both interventions to decrease land take and soil sealing and related targets. The main contribution of the research is the exploration of new indicators in terms of soil sealing and population data to identify the potential for implementing interventions proposed by the EU Soil Strategy that do not jeopardise the maintenance of biodiversity in urban areas. The land take rate in the AMP was the highest among mainland Portugal regions. Its main drivers were the development of transport networks, industrial and commercial units and dispersed housing. The reuse and re-naturalisation of artificial land have seen little use in the region. Accordingly, the daily net land taken in the AMP (0.59 ha/day) still needs to decrease until 2050. While artificial land increased across the AMP, most of its municipalities lost population. To reverse this trend, the AMP should implement tighter control mechanisms that ensure that infrastructure and housing needs are fully met through the reuse of urban areas that are already sealed. However, given that the share of impermeable soil in most urban areas is already significantly high, there will have to be a careful choice of locations where intensifying land use will cause less environmental damage. It is concluded that the degree of soil sealing within urban areas is fundamental for deciding on the interventions to be carried out to reduce net land take and for defining a policy towards meeting the 2050 target.

Urban Science doi: 10.3390/urbansci8010007

Authors: Barbara Cardone Ferdinando Di Martino Vittorio Miraglia

The application of sentiment analysis approaches to information flows extracted from the social networks connected to particular critical periods generated by pandemic, climatic and extreme environmental phenomena allow the decision maker to detect the emotional states of citizens and to determine which areas are most at risk and require specific resilient adaptation interventions. Of particular relevance today is the need to analyze the multiple risks generated by extreme phenomena in urban settlements in order for the decision maker to identify which areas are most at risk and prepare resilient intervention plans with respect to all the phenomena analyzed. In recent years, the COVID 19 pandemic emergency has forced citizens to undergo specific restrictions to protect their health; to these were added critical issues due to the occurrence of extreme climatic or environmental phenomena. In order to monitor pandemic and climate/environmental multi-risks in urban settlements, we propose a GIS-based framework in which an emotion detection method is applied to determine the prevailing emotional categories in urban study areas during pandemic periods and in the presence of extreme climatic phenomena. The framework was tested on a study area based in the six districts of the city of Bologna (Italy) in order to detect, based on the emotions expressed on social channels, which were the most critical city neighborhoods in pandemic periods and in the presence of extreme heat wave climatic events. The results show that the proposed model can represent a valid tool to support decision makers in identifying the most critical urban areas in the presence of pandemic and climate/environmental multi-risks.

Urban Science doi: 10.3390/urbansci8010006

Authors: Mo Fan Massoomeh Hedayati Marzbali Aldrin Abdullah Mohammad Javad Maghsoodi Tilaki

Contemporary urban development places a critical emphasis on pedestrian environments, especially in historic cities like George Town, which is a UNESCO World Heritage Site in Malaysia. Although survey questionnaires effectively captured public perceptions of issues such as poor road connectivity, weak accessibility, crime and safety concerns in George Town, they fell short in providing a comprehensive understanding of the root causes. This study leverages space syntax theory to model and analyze George Town’s unique pedestrian landscape, aiming to identify strategies for improving pedestrian networks in historical urban landscapes. Space syntax theory, known for revealing structural issues within urban contexts, is applied after a thorough examination of George Town’s urban layout, climate, architectural features, and development policies. George Town employs an informal grid layout widely utilized in British colonial port cities to enhance overall efficiency. The predominant architectural form is the shophouse, which is characterized by a ground level designed for pedestrian movement known as the “five-foot way” and adapted to Malaysia’s climate. Various axis drawing methods for the unique five-foot way under different circumstances are considered. The George Town special area plan (SAP) emphasizing heritage preservation guides development policies, thus requiring an inclusive approach to pedestrian environments. This enhances the practical significance of the current study, with the eastern and northern coastal areas serving as crucial focal points for investigation. This approach results in a comprehensive spatial model that captures the essence of George Town’s pedestrian landscape. Evaluation using space syntax indicators such as connectivity, integration, intelligibility, and choice reveals issues like poor overall network connectivity, inadequate access to key attractions, suboptimal integration, concentrated pedestrian flows, and significant safety concerns, which are exacerbated by limited infrastructure on certain two-way roads and a lack of zebra crossings. The practical implications of this study include recommendations for enhancing pedestrian spaces along identified roads and strategically installing zebra-crossings. This research is significant for its focus on a historical city in a Southeast Asian developing country, deeply integrating local environmental characteristics and providing insights into urban planning and optimization, thereby serving as a reference for similar cities.

Urban Science doi: 10.3390/urbansci8010005

Authors: Ibrahim Abdoul Nasser Elhadi Adam

Urbanisation is the process whereby cities are transformed into large sprawling areas. Urbanisation combined with a continuous increase in population makes food security crucial for sustainable development. Urbanisation poses a threat to agricultural land use within built-up and peri-urban areas. It has resulted in the rapid disappearance and/or total change of agricultural farmland in urban and peri-urban areas. To monitor the changes in agricultural farmland, an understanding of changes in the urban landscape is becoming increasingly important. In this study, multi-temporal Landsat imagery were used to analyse the impact of urbanisation on urban agriculture in the city of Niamey. Changes in the urban landscape were determined using the support vector machine (machine learning) algorithm. Results of this study showed a decrease in land with crops from 3428 ha to 648 ha and an increase in built-up areas from 1352 ha to 11,596 ha between 1975 and 2020. Urbanisation and population growth are the main drivers of urban landscape change in Niamey. There was also a decrease in bare land, rock and vegetation classes, while a small increase in rice and water body classes, comparing the 1975 and 2020 values. This study demonstrates the importance of remote sensing in showing the implications of urbanisation on urban agriculture. These results can assist city planners and resource managers in decision-making and adoption of sustainable mitigation measures which are crucial for urban development.

Urban Science doi: 10.3390/urbansci8010004

Authors: Sachin Gowda Vaishakh Kunjar Aakash Gupta Govindaswamy Kavitha Bishnu Kant Shukla Parveen Sihag

In the realm of urban geotechnical infrastructure development, accurate estimation of the California Bearing Ratio (CBR), a key indicator of the strength of unbound granular material and subgrade soil, is paramount for pavement design. Traditional laboratory methods for obtaining CBR values are time-consuming and labor-intensive, prompting the exploration of novel computational strategies. This paper illustrates the development and application of machine learning techniques—multivariate linear regression (MLR), artificial neural networks (ANN), and the adaptive neuro-fuzzy inference system (ANFIS)—to indirectly predict the CBR based on the soil type, plasticity index (PI), and maximum dry density (MDD). Our study analyzed 2191 soil samples for parameters including PI, MDD, particle size distribution, and CBR, leveraging theoretical calculations and big data analysis. The ANFIS demonstrated superior performance in CBR prediction with an R2 value of 0.81, surpassing both MLR and ANN. Sensitivity analysis revealed the PI as the most significant parameter affecting the CBR, carrying a relative importance of 46%. The findings underscore the potent potential of machine learning and neuro-fuzzy inference systems in the sustainable management of non-renewable urban resources and provide crucial insights for urban planning, construction materials selection, and infrastructure development. This study bridges the gap between computational techniques and geotechnical engineering, heralding a new era of intelligent urban resource management.

Urban Science doi: 10.3390/urbansci8010003

Authors: Juan Víctor Molner Rebeca Pérez-González Juan M. Soria

Beaches, as ecosystems of high ecosocial and biodiversity importance, are threatened by human activities such as city development and port construction. This study used satellite imagery (Landsat 5, Landsat 8, and Sentinel-2) to detect a significant reduction of 70% in the beach areas of El Saler and La Garrofera (Valencia, Spain) from 170 ha in the 1990s to 43 ha in the year 2022. This process has occurred in parallel with the successive expansion of the Port of Valencia, a modifying agent of marine sedimentation in the region. In addition, encouraging results have been observed in the rehabilitation efforts in different periods. The latest work in the autumn of 2023 has improved the beach area to 112 ha. In this context, remote sensing emerges as an essential tool to monitor these ecosystems, which are important for both human welfare and biodiversity conservation, as well as to allow for monitoring during ecological restoration.

Urban Science doi: 10.3390/urbansci8010002

Authors: Athina Mela Evgenia Tousi Emmanouil Melas George Varelidis

This study investigates the spatial distribution and quality of urban public spaces in the Attica region during the COVID-19 pandemic. A questionnaire survey was conducted to gather data on the availability, accessibility, and quality of open urban public spaces. The findings indicate that, although several respondents reported the presence of outdoor public spaces in their respective areas, these spaces often did not meet the desired quality standards. Notably, a clear preference was expressed for open public spaces located within a convenient walking distance, typically within a 15-min walk. Quality assessments varied across different sectors of Attica, with the central Athens and central Piraeus sectors receiving lower ratings in terms of availability, quality, and safety. Compared to the rest of Attica, the residential suburbs of Athens’s Northern Sector appear to have more accessible, safe, and well-maintained public areas. The research underscores the critical importance of quality public spaces, particularly during times of crisis. This study emphasizes the need for a re-evaluation of urban planning strategies to ensure that public spaces remain functional and accessible to citizens.

Urban Science doi: 10.3390/urbansci8010001

Authors: Diego Fettermann Pedro Christoffel Jaime Castillo Angelo Sant’Anna

The incorporation of renewable energy sources necessitates the upgrade of the electrical grid to a smart grid, which involves the implementation of smart meters. Although smart meters provide benefits to users, many smart meter implementation projects have failed to be accepted by users. This article assesses the factors influencing the acceptance of household smart meters in Joinville, a city in the south of Brazil. Based on the Unified and Extended Theory of Acceptance and Use of Technology (UTAUT2), a structural equation model was estimated using data from a sample of 136 respondents in the city of Joinville. The results indicate that Performance Expectancy, Hedonic Motivation, and Social Influence constructs have a more substantial effect on the Intention to Use smart meters. The results provide evidence for planning the upgrade of the electrical grid by implementing smart meters in southern Brazil.

Urban Science doi: 10.3390/urbansci7040126

Authors: Salma Tabi Yasushi Ikeda

Previous research has established the relevance of digital tools in participatory processes of urban planning and design. Nevertheless, the debate about the role that these information and communication technologies (ICTs) play within the participatory process, with respect to established practices and methods, and in relation to community building and public space, is still ongoing. The purpose of this paper is to present the design and development of a participation tool that attempts to combine physical and digital forms of interaction with public space and the community in the context of an essential initiation practice in Japanese participatory planning, called machi-aruki (town walking or walking tours). This tool, named the Location Hunting Game (LHG), employs location data as a medium to connect digital and physical realms, and was developed in a broader theory-driven research endeavor that explores the potential of location data in collective urban planning and governance. This article presents the concepts and objectives of LHG, the game design, the interface design, the prototyping process, the technical specifications, and a summary of the preliminary results of a trial study. The results provide insights into the potentials and limitations of the current prototype and development challenges, and conclude with future research steps.

Urban Science doi: 10.3390/urbansci7040125

Authors: Hee Sun Choi Gerhard Bruyns Wang Zhang Tian Cheng Saijal Sharma

Numerous studies have shown that the emotional wellbeing of urban populations is influenced by various aspects of urban development, such as social factors and the presence of walkable areas and green spaces. However, there is a lack of research that closely integrates urban design and cognition, particularly in the context of vertical and volumetric urbanism. This disconnect between design and science disciplines is evident when reviewing the limited research on emotional and spatial cognition in this specific urban context. This paper seeks to address that disconnect by proposing a comprehensive framework for the cognitive measurement and modelling of the built environment. This will involve exploring and measuring neural mechanisms, employing electroencephalogram (EEG) equipment to measure user responses in vertical and volumetric public spaces. The aim is to create a foundation for further studies in this field that is consistent and rigorous and can facilitate collaboration with cognitive neuroscientists by establishing a shared conceptual basis. The goal of this research is to develop a human-centric approach for urban design that is scientific and measurable, producing a set of urban design guidelines that incorporate cognitive measurement and modelling, with the broader intention to prioritize human needs and wellbeing within urban environments to make them more liveable.

Urban Science doi: 10.3390/urbansci7040124

Authors: Nichapa Parasin Teerachai Amnuaylojaroen

A heat index is a key indicator directly related to meteorological factors influencing human health, particularly work performance. However, the interaction between air quality, meteorology, heat, and associated work performance is loosely defined, especially in urban areas. In this study, we develop a heat index (HI) related to air quality terms, including PM2.5, NOx, and CO, and meteorology terms, including temperature and relative humidity, to assess work performance in Thailand’s urban areas, including Chiang Mai, Bangkok, Nakhon Ratchasima, and Ubon Ratchathani, using a multivariate regression model. The regression models’ performance shows high R2 values ranging from 0.82 to 0.97, indicating a good level of performance. A recurring trend across all locations is elevated HI values during April and May, signifying typical pre-monsoon conditions in tropical regions. Following this peak, the values of the heat index (HI) begin to fall, possibly due to the start of the wet season. As shown by the decrease in productivity during periods of elevated heat index values, the observed increase in temperatures has noticeable effects on work performance.

Urban Science doi: 10.3390/urbansci7040123

Authors: Laura Caggiu Federico Fiorani Elisa Corradini Enrico Felice Alberto Minelli

In Europe, more than two-thirds of the population live in urban areas. The management of urban green areas and trees is becoming increasingly relevant involving different players and stakeholders, as well for keeping a focus on the Sustainable Development Goals. Society and policy makers are often unaware of the disservices that neglecting these areas can cause. Appropriate monitoring interventions can protect both citizens and trees themselves. The aim of the study was to assess the risk potential in urban trees in Bologna suburbs (Italy). For each tree in the city of Bologna, three target variables identifying the number and categories of streets, buildings, and walking and cycle paths near the tree were considered and used as covariates. A multiple regression model assessing the relationship between a dependent synthetic spatial variable (digital number, DN), proxy of the likelihood of tree failure, and the three independent covariates was estimated. Both the number of streets and walking and cycle paths in the area surrounding a tree are shown to be significantly associated with the DN value. The use of open data can assist in monitoring and maintaining urban green areas. The tool supports a virtuous circle between stakeholders in urban systems through sustainability and efficiency.

Urban Science doi: 10.3390/urbansci7040122

Authors: Sina Razzaghi Asl

Globally, floods are becoming more severe, lasting longer, and occurring more frequently because of changes in climate, rapid urbanization, and changing human demographics. Although traditional structural flood mitigation infrastructures (e.g., drainage systems, levees) are effective in urban areas, their functionalities in the face of extreme rainfall events and increased development largely depend on the capacity and location of such systems, making complementary solutions such as nature-based solutions (NBS) important. The concept of NBS within the context of flood mitigation has gained traction in the last decade; however, the success of NBS depends on their effectiveness and distribution over urban regions. This article seeks to examine the potential of NBS as a flood loss mitigation tool in one of the fastest-growing and flood-prone counties of Pennsylvania, Montgomery County, using Generalized Linear Model (GLR) and Geographically Weighted Regression (GWR) techniques. The analysis integrates the National Risk Index dataset for river flooding, a 100-year flood zone layer from National Flood Hazard Layer (NFHL) provided by FEMA, with land use and impervious surface percent data derived from National Land Cover Database (NLCD) for 2019 and socioeconomic data at the U.S. census tract level from the 2019 U.S. Census. This study’s findings partially contradict previous research by revealing an unexpected relationship between NBS quantity in floodplains and expected annual loss. Findings also suggest that small size and disconnected patches of NBS in floodplains in some dense urban areas effectively reduce total losses from flood events.

Urban Science doi: 10.3390/urbansci7040121

Authors: Souleymane Fall Kapo Coulibaly Joseph Quansah Gamal El Afandi

Urban heat vulnerability varies within and across cities, necessitating detailed studies to understand diverse populations’ specific vulnerabilities. This research assessed urban heat vulnerability at block group level in three Alabama cities: Birmingham, Montgomery, and Auburn-Opelika. The vulnerability index combines exposure, sensitivity, and adaptive capacity subindices, incorporating Landsat 8 satellite-derived Land Surface Temperature (LST), demographic, and socioeconomic data using factor analysis and geospatial techniques. Results showed strong positive correlations between LST and impervious surfaces in Auburn-Opelika and Montgomery, with a moderate correlation in Birmingham. An inverse correlation between LST and Normalized Difference Vegetation Index was observed in all cities. High LST correlated with high population density, varying across cities. Birmingham and Montgomery’s central areas exhibited the highest heat exposure, influenced by imperviousness, population density, and socioeconomic factors. Auburn-Opelika had limited high heat exposure block groups, and high sensitivity did not always align with exposure. Correlations and cluster analysis were used to dissect the heat vulnerability index, revealing variations in contributing factors within and across cities. This study underscores the complex interplay of physical, social, and economic factors in urban heat vulnerability and emphasizes the need for location-specific research. Local governance, community engagement, and tailored interventions are crucial for addressing unique vulnerabilities in each urban context.

Urban Science doi: 10.3390/urbansci7040120

Authors: Higor Costa de Brito Iana Alexandra Alves Rufino Mauro Normando Macedo Barros Filho Ronaldo Amâncio Meneses

In the face of urban expansion, ensuring sustainable water consumption is paramount. This study aims to develop a domestic water demand forecast model that considers population heterogeneity and the urban area distribution in a city in the Brazilian Semiarid Region. The methodology comprises three main steps: (1) spatial data collection to identify explanatory variables for a future Land Use and Cover (LULC) model; (2) simulation of LULC data for 2030, 2040, and 2050 using the MOLUSCE plugin; and (3) estimation of domestic water demand based on projected urban area expansion and a linear regression model incorporating demographic indicators of household income, residents per household, total population, and gender. The results demonstrated a consistent LULC simulation, indicating an urban expansion of 4 km2 between 2030 and 2050, with reductions of 0.6 km2 in natural formations and 3.4 km2 in farming areas. Using LULC data, the study predicted a 14.21% increase in domestic water consumption in Campina Grande for 2050 compared to 2010, equivalent to an increase of 2,348,424.96 m3. Furthermore, the spatial analysis draws a spatial profile of water consumption among residents, highlighting the areas with the highest per capita consumption. Thus, this research offers a consistent approach to estimating water demand in regions with limited consumption data, providing valuable insights for decision-makers to consider in urban planning.

Urban Science doi: 10.3390/urbansci7040119

Authors: Dirk H. R. Spennemann

Cultural heritage management at the local government level relies on community participation, mainly interested stakeholders, in the identification, nomination and, in some jurisdictions, the co-evaluation of heritage assets. These are then “listed,” i.e., included in planning schemes and other development controls. Such inclusion in planning schemes is predicated on the assumption that the local community values its heritage, appreciates its protection and supports local council investment and actions in the matter. This assumption is treated as axiomatic but only very rarely formally tested. Drawing on a community heritage survey in Albury, a regional service center in southern New South Wales (Australia), this paper discusses the perceptions held by the community on the relative importance of heritage protection when compared with the other services offered by council. The findings show that the community ranked cultural and natural heritage places higher than cultural institutions (museums, libraries and theatres). The findings also showed that the community valued cultural and natural heritage more than traditional engineering services, such as roads/footpaths, rubbish removal and even sporting facilities. The survey highlighted intergenerational differences, with cultural heritage places and cultural institutions ranking high only among Generation X and the generations prior (Builders and Baby Boomers). This has clear implications for the present provisioning of heritage services and community education. The paper concludes with an exploration of the long-term implications of the observed intergenerational differences for local government authorities and community development in general.

Urban Science doi: 10.3390/urbansci7040118

Authors: Maria Antonietta Clerici

In a globalised economy, metropolises seem to have an ‘extra gear’ compared to smaller urban centres: they attract the most skilled businesses, drive innovation in many fields and can count on material and immaterial assets that foster greater resilience to adverse events of various kinds. Against the dynamism of metropolises, which evolutionary paths do medium-sized cities (MSCs) follow? This paper focuses on the case of Northern Italy and explores employment trends between 2012 and 2020 in 189 MSCs with a population of between 20,000 and 200,000 inhabitants. The evolutionary trajectories of these cities and their varying specialisations are investigated over a period marked by a moderate recovery of the Italian economy following the Great Recession and by a further setback caused by the COVID-19 pandemic. In general, in terms of employment performance, the 189 cities in question were less dynamic than the metropolises, but it is nevertheless necessary to look at their individual circumstances in detail. Furthermore, this work shows significant differences between the MSCs of the Northwest and Northeast in terms of evolutionary trajectories and specialisation profiles. The most problematic situations also relate to cities with a hub status in the wider context and do not only concentrate where a production structure is present that is linked to industry.

Urban Science doi: 10.3390/urbansci7040117

Authors: Akuto Akpedze Konou Armel Firmin Kemajou Mbianda Baraka Jean-Claude Munyaka Jérôme Chenal

Urban agriculture (UA) is an ancient practice in Africa that meets social- and health-related needs. However, it is unclear whether architects and urban planners have incorporated the topic into their research and practices. This study aimed to assess the scientific contributions of these fields to UA and their relevance compared to other disciplines. The research objectives were to evaluate the trends in the subject, architects’ and planners’ involvement, and the effects of UA on health in Africa. As a method, a review was conducted using Scopus, PubMed, Web of Science, and Google Scholar. The research query was (“urban agriculture” OR “urban farming”) AND Africa AND (“health” OR “global health” OR “urban health”), and the time frame considered was January 2000 to December 2020. Zotero, Mozilla Firefox, Google Chrome, Excel, and VOSviewer were used to collect and analyze metadata. After excluding duplicates, a total of n = 390 articles were involved. The results displayed the mixed health effects of UA, a growing interest in the topic with prominence on food security, and evidence from public health, not architecture and planning. The study recommends more theoretical research on UA by architects, which should be translated into policies and implementation.

Urban Science doi: 10.3390/urbansci7040116

Authors: Maxwell Owusu Ryan Engstrom Dana Thomson Monika Kuffer Michael L. Mann

Reliable data on slums or deprived living conditions remain scarce in many low- and middle-income countries (LMICs). Global high-resolution maps of deprived areas are fundamental for both research- and evidence-based policies. Existing mapping methods are generally one-off studies that use proprietary commercial data or other physical or socio-economic data that are limited geographically. Open geospatial data are increasingly available for large areas; however, their unstructured nature has hindered their use in extracting useful insights to inform decision making. In this study, we demonstrate an approach to map deprived areas within and across cities using open-source geospatial data. The study tests this methodology in three African cities—Accra (Ghana), Lagos (Nigeria), and Nairobi (Kenya) using a three arc second spatial resolution. Using three machine learning classifiers, (i) models were trained and tested on individual cities to assess the scalability for large area application, (ii) city-to-city comparisons were made to assess how the models performed in new locations, and (iii) a generalized model to assess our ability to map across cities with training samples from each city was designed. Our best models achieved over 80% accuracy in all cities. The study demonstrates an inexpensive, scalable, and transferable approach to map deprived areas that outperforms existing large area methods.

Urban Science doi: 10.3390/urbansci7040115

Authors: Rania Ajmi Faiza Khebour Allouche Aude Nuscia Taîbi Safa Bel Fekih Boussema

As a primary goal, urban green spaces (UGSs) have been linked to several aspects of inhabitants’ wellbeing. Quality could be a way to intervene in the UGS–human health interaction. For that purpose, we developed an urban green space quality index (UGS QIndex) applied to a Mediterranean region, Sousse City. This index was based on a set of criteria, indicators, and elements chosen after bibliographical research related to UGS quality assessment tools and their contribution to the Sustainable Development Goals. Then, we evaluated the quality of the Sousse Ramparts Gardens using the UGS QIndex. In fact, this index includes 41 elements grouped into 23 indicators covering seven thematic criteria: environmental regulating capacity, functional amenities, aesthetic amenities, landscape features, integration in its surroundings, development policy objectives, and space issues. According to the UGS QIndex, Bab El Gharbi garden exceeds Bab El Finga garden in terms of its scenery, aesthetics, and functionality. This index could be used by city planners to improve their UGS’s capacity to satisfy the inhabitants’ requirements. Otherwise, it needs to be enhanced and tailored to various types of UGSs and then applied to other Mediterranean cities, as well as cities suffering from UGS degradation.

Urban Science doi: 10.3390/urbansci7040114

Authors: Oluwagbemiga Paul Agboola Hourakhsh Ahmad Nia Yakubu Aminu Dodo

There are strong indications that the built environment has had a great influence on the course of the COVID-19 pandemic and the post-disaster recovery. The COVID-19 pandemic has adversely affected both human and global development, while efforts to combat this menace call for an integrated human social capital index. This research seeks to enhance understanding of how the built environment can be enhanced through resilience against the backdrop of the COVID-19 pandemic. This study aims to investigate the impact of a resilient built environment on increasing resilience in the aftermath of the COVID-19 pandemic in Nigeria. The quantitative studies test the impact of four built environment resilience indices (built environment capital, disaster management indices, awareness of the COVID-19 pandemic, and built environment adaptive strategies) on human social capital and COVID-19 pandemic indices. This study reveals the role of human social capital in achieving a resilient built environment in the wake of the COVID-19 pandemic in Nigeria. Built environment capital, disaster management indices, and awareness of COVID-19 also indirectly affect the COVID-19 pandemic indices through human social capital. This study’s implications are useful for post-COVID-19 recovery, which is important for future planning of the built environment in Nigeria.

Urban Science doi: 10.3390/urbansci7040113

Authors: Sergio Nesmachnow Andrei Tchernykh

Urban mobility and strategies for public transportation play a vital role in promoting a more sustainable, accessible, and livable urban environment in smart cities. Data-driven decision making, multi-modal integration, and innovative means are key elements in developing effective public transportation. The COVID-19 pandemic had a significant impact on public transportation worldwide, including decreased travel, health and security concerns, and a shift in travel patterns. In particular, the use of public transportation reduced by up to 90% in developed countries. This article studies the mobility demands and patterns related to public transportation in Montevideo, Uruguay, amidst the COVID-19 pandemic. The study follows an urban data analysis approach, using open data from various sources, including citizen mobility, the public transportation system, COVID-19 case records, and economic indicators. The urban data methodology allows the deriving of significant findings, encompassing the assessment of trip reductions in Montevideo in March 2020 (71.4%, lower than similar cities in the world), the correlation between trip numbers and COVID-19 cases during the different pandemic waves, the recovery of public transportation usage, and the correlation with socio-economic indicators. These results offer valuable insights for quantifying and comprehending the behavior of citizens concerning public transportation throughout the COVID-19 pandemic, providing valuable understandings for policymakers and researchers to elaborate mobility strategies and policies.

Urban Science doi: 10.3390/urbansci7040112

Authors: Juan R. Coca Julio Fernández-Portela Susana Gómez-Redondo Anabel Paramá-Díaz

European regions with a lower population density have greater structural difficulties in ensuring that the daily life of their inhabitants matches that of more populated regions. This problem persists in groups of people who present some type of disability. Soria (Spain) is one of such regions. It is considered the most depopulated region of Southern Europe. Therefore, the aim of this study was to analyse the reality of people with disabilities in one of the provinces with a lower population density. It also seeks to explore the relationship between the perceptions and the reality of the existing structure to infer the promotions or limitations of agency. To this end, we conducted a systematic review of the existing literature, a sociogeographic study of the study context, and a mixed investigation. The results show that the greatest problem lies in the cities and towns located far away from the capital city, causing budget cutbacks and, therefore, reducing the attention to the needs of people with disabilities. However, social solidarity has increased, which is perceived as greater social inclusion for this group.

Urban Science doi: 10.3390/urbansci7040111

Authors: Farah Altarifi Nawal Louzi Dana Abudayyeh Tariq Alkhrissat

Amman, the capital of Jordan, has experienced significant traffic congestion due to the rise in private vehicle ownership and limited public transportation services. A Stated Preference (SP) survey was conducted to determine public transportation users’ willingness to use the Bus Rapid Transit (BRT) service. Another survey assessed the demand for an on-demand transit bus service with flexible and moderate costs, particularly for individuals far from the main BRT stations who need to reach them. Two models, Multinomial Logit (MNL) and Mixed Logit (ML), were utilized to understand user preferences for work-related trips. The study findings indicate that the cost of the trip and the waiting time are the two primary factors influencing public transport users’ choices. Furthermore, sociodemographic factors, such as age, income, household size, and current status, were found to have a significant impact. The results reveal that approximately 71% of participants would utilize an integrated public transportation system comprising BRT and on-demand services. The findings underscore the potential benefits of an integrated public transport system in addressing Amman’s traffic congestion. By combining BRT and on-demand services, the city can offer residents comfortable, affordable, and efficient transportation options, thus effectively mitigating congestion.

Urban Science doi: 10.3390/urbansci7040110

Authors: Yang Sao Xiong Mark E. Pfeifer

Although spatial assimilation has often been defined as the process whereby a group attains residential propinquity with majority members of a host society, we argue that for certain immigrant groups, substantial suburbanization does not necessarily lead to racial integration. Our analysis using data from the U.S. Census Bureau reveals that between 1990 and 2010, Southeast Asian former refugees in the Minneapolis-St. Paul Metropolitan Statistical Area experienced substantial suburbanization, which is expected given their improved socioeconomic status. However, Southeast Asians’ suburbanization has not led to residential propinquity with non-Hispanic Whites. Despite a small decline in Southeast Asians’ overall segregation at the metropolitan area level during the previous two decades, their segregation levels, as measured by the dissimilarity index, remained unchanged or increased in the central city and the suburbs. Furthermore, our findings reveal different ethnic concentration and segregation patterns among four Southeast Asian subgroups, complicating the meaning of ‘suburbanization’ as simply a process in which people move from the inner city to its less urban outskirts. The finding that substantial suburbanization coexists with high levels of segregation and ethnic concentration raises questions about the assumptions of both the spatial assimilation and place stratification models of immigrant residential processes and outcomes.

Urban Science doi: 10.3390/urbansci7040109

Authors: Liora Bigon Edna Langenthal

Against the background of urban redevelopment programs through the lens of varied, country-related planning cultures, this article sets the stage for learning from one country’s recent experience. In this article, we focus on two Israeli urban regeneration programs operating since 2000: the ‘Integrated National Planning Scheme’ (TAMA 38) and ‘Evacuate and Build’ (Pinuy Binuy) programs. This article aims to examine the governmental agenda behind these programs in comparison to previous urban regeneration programs and, especially, to critically review the implementation and implication of these programs considering social sustainability issues. Methodologically, the policies and practices of this recent wave of urban renewals in Israel are revisited through a critical reading of a series of studies from the last five years, bringing together multidimensional societal aspects. In terms of ethics and qualitative dimensions, the examined societal aspects are rooted in social sustainability theory and contemporary urban policy design. Our findings regarding this country-related recent experience in urban renewals have identified several gaps concerning certain aspects of social sustainability theory and practice. These gaps call for a better understanding by Israel’s urban policy makers of the comprehensive essence of contemporary social sustainability theory, which should also be mirrored in the respective professional discourse. The gaps are also useful in informing our accumulating transnational knowledge and experience in urban renewal schemes, based on a chain of country-related experiences and planning cultures.

Urban Science doi: 10.3390/urbansci7040108

Authors: Ming-An Chung Tze-Hsun Wang Chia-Wei Lin

Environmental, social, and governance issues have gained significant prominence recently, particularly with a growing emphasis on environmental protection. In the realm of heightened environmental concerns, unmanned aerial vehicles have emerged as pivotal assets in addressing transportation challenges with a sustainable perspective. This study focuses on enhancing unmanned aerial vehicles’ object detection proficiency within the realm of sustainable transportation. The proposed method refines the YOLOv7 E-ELAN model, tailored explicitly for traffic scenarios. Leveraging strides in deep learning and computer vision, the adapted model demonstrates enhancements in mean average precision, outperforming the original on the VisDrone2019 dataset. This approach, encompassing model component enhancements and refined loss functions, establishes an efficacious strategy for precise unmanned aerial vehicles object detection. This endeavor aligns seamlessly with environmental, social, and governance principles. Moreover, it contributes to the 11th Sustainable Development Goal by fostering secure urban spaces. As unmanned aerial vehicles have become integral to public safety and surveillance, enhancing detection algorithms cultivates safer environments for residents. Sustainable transport encompasses curbing traffic congestion and optimizing transportation systems, where unmanned aerial vehicle-based detection plays a pivotal role in managing traffic flow, thereby supporting extended Sustainable Development Goal 11 objectives. The efficient utilization of unmanned aerial vehicles in public transit significantly aids in reducing carbon footprints, corresponding to the “Environmental Sustainability” facet of Environmental, Social, and Governance principles.

Urban Science doi: 10.3390/urbansci7040107

Authors: Thomas W. Sanchez Xinyue Ye

Understanding human movement and transportation accessibility has become paramount in shaping the very fabric of our communities [...]

Urban Science doi: 10.3390/urbansci7040106

Authors: Assouhan Jonas Atchadé Madjouma Kanda Fousseni Folega Abdoul Aziz Diouf Symphorien Agbahoungba Marra Dourma Kperkouma Wala Koffi Akpagana

Urbanization is a current concern, particularly in Africa, where it is expected to continue and increasingly threaten the effectiveness of plant biodiversity, natural carbon sinks, and the sustainability of cities. This paper investigates the structural parameters and carbon storage potential of trees in the land use units of the city of Cotonou in southern Benin. A total of 149 plots at 2500 m2 each were randomly generated, and trees with a diameter ≥ 10 cm were inventoried. ANOVA revealed that the means of structural parameters (diameter and height classes) and carbon stock rate varied significantly (p < 0.001) across land use units in the city. Tree basal area is estimated at 4.52 ± 5.24 m2 ha−1, with an average of 12.72 (13) feet ha−1. The average diameter of the trees is estimated at 57.94 ± 29.71 cm. Approximately 1000 kg ha−1 (0.94 × 103 kg ha−1) of carbon is stored in the city of Cotonou. Green spaces (1.21 × 103 kg ha−1) and roads (1.19 × 103 kg ha−1) are the units that recorded the highest carbon stocks. Khaya senegalensis, Mangifera indica, and Terminalia mentally lead the top ten species with high stock potential. This study demonstrates the contribution of urban trees to global atmospheric carbon reduction, which varies by species, land use units, and tree density. Future research could investigate an i-Tree Landscape approach for urban carbon estimation. This could reinforce urban carbon data availability for urban ecological planning.

Urban Science doi: 10.3390/urbansci7040105

Authors: I-Ting Chuang Lee Beattie Lei Feng

Urban planning and transportation policies are vital to creating sustainable and liveable cities. Transit-orientated development (TOD) has emerged as a prominent approach that emphasises the establishment of neighbourhoods with convenient access to public transportation, thereby promoting car-free lifestyles. This research investigates the connection between proximity to transit stations and local living habits in Auckland, New Zealand, which is a car-dependent city aiming to transition to a sustainable TOD model. We use geolocational data from mobile phones to measure the daily mobility patterns of residents living within a 15 min walking distance of various transit stations. Employing ordinary least squares (OLS) regression, we analyse the correlation between residents’ average travel distances and individual mobility, considering different station contexts. We aim to determine whether individuals living near transit stations are more inclined to participate in local activities and make a higher proportion of short-distance trips. The results illustrate that approximately 54% of the residents show dominant localised mobility patterns. Living near a station is significantly associated with shorter annual travel distances, although this trend varies by area. Notably, only about 16 of the 34 stations studied indicate that their local residents predominantly engage in ‘local’ travel patterns. Rural stations show less correlation, likely due to poor infrastructure and limited walkability. This study underscores the vital role of proximity to transit stations in promoting sustainable mobility. It serves as a foundational guide for urban planners and designers to make informed decisions that improve the built environment and optimise land use.

Urban Science doi: 10.3390/urbansci7040104

Authors: Andrii Biloshchytskyi Oleksandr Kuchanskyi Yurii Andrashko Didar Yedilkhan Alexandr Neftissov Svitlana Biloshchytska Beibut Amirgaliyev Vladimir Vatskel

This study considers the creation of a network of moss-based biotechnological purification filters under the Smart City concept. The extent of the absorption of heavy metals and gases by Sphagnopsida moss under different conditions was investigated. The efficiency of air purification with biotechnological filters was also investigated in the city of Almaty, Republic of Kazakhstan, where an excess of the permissible concentration of harmful substances in the air, according to the WHO air quality guidelines, is recorded throughout the year. Data on the level of pollution recorded with sensors located in the largest Kazakhstani cities from 21 June 2020 to 4 June 2023 were selected as the basis for calculating purification efficiency. In total, there are 220 in 73 settlements of the Republic of Kazakhstan, with 80 such sensors located in the city of Almaty. Since creating a single biotechnological filter is expensive, our task was to calculate the air purification effect in the case of increasing the number of filters placed in polluted areas. We show that 10 filters provide an air purification efficiency of 0.77%, with 100 filters providing an air purification efficiency of 5.72% and 500 filters providing an air purification efficiency of 23.11%. A biotechnological filter for air purification based on moss was designed at Astana IT University by taking into consideration the climatic features, distribution, and types of pollution in the Republic of Kazakhstan. The obtained results are essential for ensuring compliance with the standard for environmental comfort in the Republic of Kazakhstan. Additionally, the research findings and the experience of implementing a moss-based biotechnological filter can be applied to designing similar air purification systems in other cities. This is of great importance for the advancement of the field of urban science.

Urban Science doi: 10.3390/urbansci7040103

Authors: Anthony Jnr. Bokolo

Municipalities are concerned with addressing social issues such as mobility inclusion and safety by increasing access to transport facilities and services for all groups in society to create equitable and equal access for all citizens. Moreover, the public transportation systems provided in cities have to be inclusive and safe, driven by emerging technologies such as Artificial Intelligence (AI)-based services that provide personalized recommendation to improve mobility inclusion and safety for all citizens in society, especially vulnerable road users such as senior citizens or older people. But at the moment, there are few studies that have investigated how municipalities can provide inclusive and safe public transportation in general and for senior citizens, particularly those aged 65 and above. Therefore, this study aimed to examine how to provide inclusive and safe mobility for senior citizens to improve out-of-home mobility services for senior citizens towards age-friendly cities and communities. Accordingly, a systematic literature review grounded on secondary data was adopted to investigate inclusive and safe mobility needs for senior citizens. The data were collected from previous research and existing documents, and a descriptive data analysis was carried out to provide insights on urban transportation policies related to senior citizens. Furthermore, case studies were adopted to present polices and strategies employed in Norway, Canada, the United States of America, the United Kingdom, Sweden, and Northern Ireland to identify measures employed to address the public transportation needs of an aging society, focusing on the provision of inclusive and safe mobility to senior citizens. Further findings from this study included the possible use of emerging technologies such as AI-based machine learning for inclusive and safe mobility.