Martinez Rafael , Mangla Chavi , Leong Zhen Cong Jonathan , Đỗ Ngọc Minh Châu , Nguyễn Xuân Lập , Phạm Trâm Anh
{"title":"Micro-Mobilities and mobility Justice: Rethinking walkability through algorithmic blind spots in Ho Chi Minh City","authors":"Martinez Rafael , Mangla Chavi , Leong Zhen Cong Jonathan , Đỗ Ngọc Minh Châu , Nguyễn Xuân Lập , Phạm Trâm Anh","doi":"10.1016/j.cacint.2026.100372","DOIUrl":"10.1016/j.cacint.2026.100372","url":null,"abstract":"<div><div>Pedestrian mobility remains difficult to measure and plan in dense cities where sidewalks are shared with informal and multifunctional uses. This study examines pedestrian flows in Ho Chi Minh City, Vietnam, to assess how environmental conditions and everyday sidewalk activities jointly shape walkability. A mixed-methods approach combines ethnographic field observation with Random Forest modelling of pedestrian counts and sensor-derived variables, including temperature, noise, road width, and intersection density. The modelling results identify key environmental predictors of pedestrian volume, while qualitative observations show how informal uses—such as vending, resting, and domestic spillovers—influence route choice, comfort, and accessibility in ways not captured by conventional metrics. The findings demonstrate that infrastructure-based indicators alone are insufficient to explain pedestrian behaviour in rapidly urbanising contexts. Beyond documenting these limitations, the study shows how ethnographic contextualisation can reveal the interpretive blind spots of algorithmic pedestrian models when applied in informal urban environments. In response, the article proposes a context-sensitive framework of “Vietnamese Characteristics” to reconceptualise walkability as a negotiated and multifunctional urban condition, offering practical insights for more inclusive pedestrian and transport planning.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"30 ","pages":"Article 100372"},"PeriodicalIF":3.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147849773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"From form to meaning: an empirical visual–aesthetic–semantic framework for perceiving tall-building skylines","authors":"Mehrdad Karimimoshaver, Fatemeh Derakhshan","doi":"10.1016/j.cacint.2026.100380","DOIUrl":"10.1016/j.cacint.2026.100380","url":null,"abstract":"<div><div>Tall buildings increasingly shape the visual and symbolic identity of contemporary cities. Yet, previous skyline studies have typically explored visual, aesthetic, and semantic dimensions in isolation, without empirically examining how these dimensions relate to one another within a unified framework. This gap limits a comprehensive understanding of how the physical form of tall buildings translates into perceived meaning in urban environments. This study develops and empirically tests a visual–aesthetic–semantic model to investigate the interdependencies among skyline dimensions. Using survey data collected from residents of four Tehran neighborhoods and urban experts, the research employs mean comparison tests (ANOVA and t-tests) to examine how variations in physical and visual characteristics of tall buildings influence semantic interpretations. The findings show that skyline meaning is not a simple outcome of physical form but emerges through aesthetic perception, which shapes symbolic interpretations such as power, wealth, density, and urban progress. Significant perceptual differences across social groups highlight the contextual and experiential nature of skyline understanding. Beyond the Tehran case, the study empirically validates a visual–aesthetic–semantic analytical framework that explains how the physical characteristics of tall buildings are translated into symbolic meaning through aesthetic perception at the skyline scale. The framework integrates physical, visual, and semantic dimensions into a unified perceptual model applicable to other metropolitan contexts.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"30 ","pages":"Article 100380"},"PeriodicalIF":3.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147957039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Evaluating urban green infrastructure for health promotion: Insights from Saudi Arabia’s Eastern Province","authors":"Chuloh Jung, Nadine Fayad","doi":"10.1016/j.cacint.2026.100379","DOIUrl":"10.1016/j.cacint.2026.100379","url":null,"abstract":"<div><div>Rapid urbanization in Saudi Arabia has intensified public health challenges, particularly rising obesity and sedentary lifestyles associated with automobile dependency and limited walkable environments. This study investigates the relationship between the spatial characteristics of parks and green spaces and health outcomes in Al Khobar, a rapidly developing Gulf city, using the Corniche Linear Park as a focused case study to explore context-specific dynamics of urban green infrastructure. Focusing on the Corniche Linear Park as a representative urban green corridor, the research employed a mixed-methods approach that explicitly integrated structured surveys (n = 541), GIS-based spatial analysis, and multiple regression modeling, using a triangulated analytical framework linking subjective perceptions, objective spatial metrics, and statistical inference. Variables examined included accessibility (proximity, entrances, and park distribution), neighborhood environmental perceptions, and land-use attributes, with dependent variables encompassing frequency of park use, self-perceived health status, and Body Mass Index (BMI). The findings reveal that accessibility indicators, particularly the number of parks and entrances within a 200-meter radius, significantly influence park visitation frequency. Subjective perceptions of pedestrian safety, comfort, and the presence of exercise-inducing environments were also critical predictors of physical activity and health outcomes. While BMI was more strongly shaped by personal characteristics such as age, gender, and lifestyle behaviors, proximity to parks within 400 m was associated with patterns consistent with improved behavioral outcomes, which are associated with patterns consistent with improved behavioral outcomes related to obesity risk. These results underscore the role of urban parks not merely as recreational amenities but as critical health-promoting infrastructure. The study provides evidence supporting Saudi Arabia’s Vision 2030 Quality of Life Program, emphasizing the importance of embedding accessible, pedestrian-friendly green spaces into urban planning to foster healthier, more resilient communities.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"30 ","pages":"Article 100379"},"PeriodicalIF":3.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147957037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Christoph Schwenck , Tobias Neumann , Henrik von Wehrden
{"title":"Establishing a GIS toolbox to access urban verticality","authors":"Christoph Schwenck , Tobias Neumann , Henrik von Wehrden","doi":"10.1016/j.cacint.2026.100382","DOIUrl":"10.1016/j.cacint.2026.100382","url":null,"abstract":"<div><div>Cities today face the pressing challenge of meeting rising housing demand while preserving scarce land and environmental resources. Vertical extension presents a sustainable strategy to densify urban areas, minimizing outwards expansion and associated environmental impacts such as land take, habitat loss, and increased infrastructure demands. This study presents an innovative, user-friendly geospatial model designed to quantify the legal potential for vertical extension, demonstrated utilizing the city of Lüneburg, Lower Saxony, Germany as case study. Co-developed with local stakeholders and grounded in standardized data, the toolbox empowers planners and municipalities to independently explore, analyse, and visualize densification opportunities tailored to their specific context. By transforming complex spatial data into actionable insights, the approach offers a data-driven foundation to rethink urban planning and guide sustainable urban development.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"30 ","pages":"Article 100382"},"PeriodicalIF":3.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147957038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shreyas Gadge , Vítor V. Vasconcelos , André de Roos , Elisabeth Krueger
{"title":"Corrigendum to “Understanding heterogeneity in adaptation to intermittent water supply: Clustering household types in Amman, Jordan” [City Environ Interact 30 (2026) 100337]","authors":"Shreyas Gadge , Vítor V. Vasconcelos , André de Roos , Elisabeth Krueger","doi":"10.1016/j.cacint.2026.100386","DOIUrl":"10.1016/j.cacint.2026.100386","url":null,"abstract":"","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"30 ","pages":"Article 100386"},"PeriodicalIF":3.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148231086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shreyas Gadge , Vítor V. Vasconcelos , André de Roos , Elisabeth Krueger
{"title":"Corrigendum to “Understanding heterogeneity in adaptation to intermittent water supply: Clustering household types in Amman, Jordan” [City Environ. Interact. 30 (2026) 100337]","authors":"Shreyas Gadge , Vítor V. Vasconcelos , André de Roos , Elisabeth Krueger","doi":"10.1016/j.cacint.2026.100387","DOIUrl":"10.1016/j.cacint.2026.100387","url":null,"abstract":"<div><div>More than a billion people around the world experience intermittence in their water supply, where piped water is delivered for less than 24 h per day or less than 7 days per week. This prompts water users to adapt by installing storage tanks or accessing alternative water services to balance service deficits, which poses challenges for urban households, especially in Global South cities. Adaptation and its impacts can vary across urban households and have been shown to be largely unaccounted for by local water managers. Most studies on household adaptation to intermittent water supply (IWS) assume income-based differences in household water use and management strategies and do not account for the multiple factors that influence adaptation. There is thus a need for a standardized methodology for understanding responses to IWS that acknowledges a set of heterogeneous household characteristics influencing adaptation to IWS. Here, we apply an analysis pipeline using hierarchical clustering analysis (HCA) in combination with the Welch-two-sample t-test on household survey data from Amman, Jordan. We identify three clusters of households distinguished by a set of characteristics including income, water social network, supply duration, relocation and water quality problems and identify their group-specific adaptive strategies such as contacting the utility or accessing alternative water sources. Our results reveal the link between household characteristics and unequal adaptation in Amman, leading to differential resilience against IWS. Our standardized method is suitable for application across different settings, which can provide valuable insights for revising urban water management policies towards greater equity in cities with IWS.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"30 ","pages":"Article 100387"},"PeriodicalIF":3.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148231088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Haopeng Yang , Yiyang Wang , Lanxin Gao , Mingze Chen
{"title":"Mapping spatial patterns of running activity on park using machine learning and geotagged social media data","authors":"Haopeng Yang , Yiyang Wang , Lanxin Gao , Mingze Chen","doi":"10.1016/j.cacint.2026.100354","DOIUrl":"10.1016/j.cacint.2026.100354","url":null,"abstract":"<div><div>Urban parks provide critical environmental and health benefits in cities, yet the spatial distribution of specific activities such as running remains poorly understood. This gap limits planners’ ability to design parks that effectively support physical activity and equitably distribute recreational opportunities. This study integrates machine learning with geotagged social media data to map and analyze running patterns across Singapore’s urban parks. We quantified running intensity and volume using crowdsourced GPS tracks from fitness apps and applied computer vision to Flickr images to detect organized running events. We then employed regression models to examine how park characteristics relate to running volume and event occurrence. Results showed that running activity was highly uneven: most activity clustered in a few large, well-connected parks and green corridors, while many small neighborhood parks saw minimal use. Higher running volumes were associated with denser trail networks and waterfront or linear parks, while a larger number of access points correlated with lower volumes. Events were more frequent in parks with multiple entrances, clear signage, and transit links, and less frequent in densely populated districts. These findings offer detailed evidence to inform data-driven urban park planning and point to targeted interventions that can improve access and more equitably distribute running opportunities. Overall, the study shows that big data analytics effectively capture human activity patterns, supporting evidence-based and inclusive urban park planning for healthier and more sustainable cities.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"30 ","pages":"Article 100354"},"PeriodicalIF":3.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147602029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jihui Yuan , Patryk Antoszewski , Adam Choryński , Yafeng Gao , Jiale Chai , Xiangfei Kong
{"title":"Urban Heat Island mitigation strategies: a comprehensive review of recent advances","authors":"Jihui Yuan , Patryk Antoszewski , Adam Choryński , Yafeng Gao , Jiale Chai , Xiangfei Kong","doi":"10.1016/j.cacint.2026.100351","DOIUrl":"10.1016/j.cacint.2026.100351","url":null,"abstract":"<div><div>Urban Heat Islands (UHIs) represent a pressing challenge in contemporary cities, exacerbating energy demand, public health risks, and climate vulnerability. This comprehensive review synthesizes recent advancements in UHI mitigation, critically evaluating a spectrum of strategies, including green infrastructure, high-albedo and reflective materials, urban design modifications, and emerging technological interventions. Quantitative evidence demonstrates that green roofs and vegetated façades typically reduce local temperatures by 1–4 °C, though evidence from arid cities indicates limited cooling or potential net warming from certain low-evapotranspiration vegetation types due to reduced albedo effects, while reflective surface enhancements may lower urban ozone concentrations by up to 7% (modeling estimates under widespread adoption in specific regions). Innovative tools, such as machine learning (ML) for predictive modeling, remote sensing for high-resolution monitoring, and geographic information systems (GIS) for spatial analysis, are highlighted for their ability to inform targeted interventions with ML achieving predictive accuracies up to ∼95% for LST/hotspot mapping in select contexts, though challenges including data limitations and generalizability remain. Case studies across Southeast Asia, Europe, and North America reveal regional differences in mitigation efficacy, emphasizing context-specific planning. Key implementation challenges—including financial costs, scalability constraints, maintenance requirements, and socio-economic inequities—are critically examined, alongside potential synergies and trade-offs between strategies. Expanded analyses incorporate megacities such as Singapore, New York, and Los Angeles, exploring novel approaches like AI-driven adaptive systems, industrial-zone vegetation restoration, and hybrid blue-green infrastructure. Comparative assessments across climatic zones elucidate strategy effectiveness, while spatial and temporal UHI trends are mapped to guide decision-making. By emphasizing integrated, equitable, and policy-informed approaches, this review provides actionable insights for urban planners and policymakers, supporting the design of sustainable, resilient cities capable of mitigating UHI impacts and enhancing urban livability in the face of global climate change.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"30 ","pages":"Article 100351"},"PeriodicalIF":3.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147602042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Data-driven tools for optimizing urban tree planting strategies","authors":"Luca Maccacaro , Eleonora Andreotti , Munazza Usmani , Riccardo Nanni , Maurizio Napolitano","doi":"10.1016/j.cacint.2026.100383","DOIUrl":"10.1016/j.cacint.2026.100383","url":null,"abstract":"<div><div>In this study, we propose a universally applicable, two-level approach aimed at optimizing both tree planting locations and species selection, integrating the model into an intuitive Web Application. By combining multiple data sources, the application first provides a deeper understanding of the dataset by exploring internal correlations and uncovering the underlying patterns that define the urban tree ecosystem. It then uses a best-fit regression model to outline the current state of the data, serving as a solid foundation for predictive modeling. The research results in the development of a comprehensive predictive model combined with a heuristic algorithm, which offers recommendations for optimal tree planting locations within a city. It prioritizes areas with the highest potential for urban greening and balances species selection between those that maximize ecosystem benefits and those already prevalent in the area, thereby ensuring continuity and coherence with the existing green cover. The findings of this study are intended to support urban greening planning and policy decisions in cities, fostering sustainable development and improving public health and well-being. The approach is designed to be transferable to any urban context and is demonstrated here using Bologna (Italy) as a representative case study.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"30 ","pages":"Article 100383"},"PeriodicalIF":3.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147991023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Understanding the governance context for Blue-Green Infrastructure in public space: The cases of Valencia and Mexico City","authors":"Maria Eugenia Ibarraran , César Casiano Flores , Tamara Perez-Garcia , Sergio Alvarado Vazquez","doi":"10.1016/j.cacint.2026.100353","DOIUrl":"10.1016/j.cacint.2026.100353","url":null,"abstract":"<div><div>As cities confront more frequent floods, droughts, and heat waves, Blue-Green Infrastructure (BGI) has emerged as a nature-based approach that integrates water and vegetation systems to enhance urban resilience and social well-being. Yet governance barriers often limit its effectiveness. This paper examines the governance factors that facilitate or hinder the effective management and implementation of BGI in public spaces, using Mexico City and Valencia as case studies. Drawing on the Contextual Interaction Theory (CIT), the study analyses twenty-nine interviews with governmental, professional, academic, and civil society actors to explore how governance factors influence BGI implementation and management. The findings reveal that strong political leadership, interdepartmental cooperation, and stable institutional frameworks are key to BGI. In Mexico City, fragmented responsibilities, scarce technical and financial resources, and limited civic engagement constrain long-term outcomes. In Valencia, established policy frameworks are weakened by inconsistent political commitment and maintenance funding gaps. The study confirms that effective BGI implementation depends less on technical capacity than on inclusive, well-coordinated governance supported by sustained political will, cross-sector collaboration, and mechanisms for public participation. Additionally, it demonstrates the value of CIT as an analytical tool for understanding the governance dynamics of climate adaptation in Ibero-American cities.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"30 ","pages":"Article 100353"},"PeriodicalIF":3.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147797606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}