Pub Date : 2025-12-01Epub Date: 2025-11-21DOI: 10.1016/j.cacint.2025.100266
Nasal Nazar, Goze Bayram, Amina Al-Kandari
Urban lighting shapes emotional and behavioral responses in public spaces, influencing perceptions of safety, comfort, and social engagement. This study investigates the psychological and behavioral implications of urban lighting along the Marina District waterfront in Lusail City, Qatar. A mixed-methods approach, combining lighting inventory, behavioral mapping, and user perception surveys (N = 40), was applied to examine how lighting characteristics affect user experience. Results indicate that moderate brightness levels (10–15 lx) and warm color temperatures (3000–3500 K) enhance visual comfort and sociability, while balanced illumination improves safety and orientation. Variations in tone and intensity supported diverse behavioral patterns across active and resting zones. The findings correspond with the Sense of Belonging framework, linking accessibility, comfort, sociability, and attachment. Sustainable and adaptive lighting strategies aligned with the Qatar National Vision 2030 are proposed to guide evidence-based, human-centered design for waterfront environments in Gulf urban contexts.
{"title":"Glow and flow: Urban lighting and the making of a vibrant waterfront in Lusail Marina, Qatar","authors":"Nasal Nazar, Goze Bayram, Amina Al-Kandari","doi":"10.1016/j.cacint.2025.100266","DOIUrl":"10.1016/j.cacint.2025.100266","url":null,"abstract":"<div><div>Urban lighting shapes emotional and behavioral responses in public spaces, influencing perceptions of safety, comfort, and social engagement. This study investigates the psychological and behavioral implications of urban lighting along the Marina District waterfront in Lusail City, Qatar. A mixed-methods approach, combining lighting inventory, behavioral mapping, and user perception surveys (N = 40), was applied to examine how lighting characteristics affect user experience. Results indicate that moderate brightness levels (10–15 lx) and warm color temperatures (3000–3500 K) enhance visual comfort and sociability, while balanced illumination improves safety and orientation. Variations in tone and intensity supported diverse behavioral patterns across active and resting zones. The findings correspond with the Sense of Belonging framework, linking accessibility, comfort, sociability, and attachment. Sustainable and adaptive lighting strategies aligned with the Qatar National Vision 2030 are proposed to guide evidence-based, human-centered design for waterfront environments in Gulf urban contexts.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"28 ","pages":"Article 100266"},"PeriodicalIF":3.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683670","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}
Pub Date : 2025-12-01Epub Date: 2025-11-09DOI: 10.1016/j.cacint.2025.100263
Sèdjro David Igor Thierry Kévin Ahouandjinou , Carlo Sodalo , Raoul Kouagou Sambieni , Abdel Aziz Osseni , Arcadius Yves Justin Akossou , Jan Bogaert
In sub-Saharan Africa, understanding how urban land use and land cover (LULC) are changing is key to assessing the vulnerability of peri-urban ecosystems and improving spatial planning strategies. This study analyzes the dynamics of built-up expansion and associated land use trade-offs in the municipalities surrounding Cotonou, Benin, from 2002 to 2023, and simulates urban spatial growth trajectories to 2050 under three contrasting development scenarios. Multispectral Landsat imagery was classified using the Random Forest algorithm, and scenario-based projections were generated through the Land Change Modeler (LCM) in TerrSet. Classification accuracies were high (Kappa > 0.98), ensuring the reliability of results. Over the two-decade period, built-up/bare soil areas expanded by 12 %, while vegetation and others areas declined by 11.8 %, reflecting a moderate diffusion pattern and medium-speed urban spatial growth. Scenario projections indicate continued land conversion under the Rapid Economic Growth and Current Trend scenarios, primarily at the expense of vegetated areas. In contrast, the Green-city scenario highlights the potential for reversing land degradation through reforestation and spatial containment. These findings reveal critical trade-offs between development and environmental conservation, and demonstrate the value of scenario-based remote sensing approaches for guiding sustainable urban planning in rapidly transforming urban fringes of coastal West Africa.
{"title":"Built-up expansion and urban land use trade-offs in peri-urban Cotonou (Benin), West Africa: A scenario-based remote sensing approach","authors":"Sèdjro David Igor Thierry Kévin Ahouandjinou , Carlo Sodalo , Raoul Kouagou Sambieni , Abdel Aziz Osseni , Arcadius Yves Justin Akossou , Jan Bogaert","doi":"10.1016/j.cacint.2025.100263","DOIUrl":"10.1016/j.cacint.2025.100263","url":null,"abstract":"<div><div>In sub-Saharan Africa, understanding how urban land use and land cover (LULC) are changing is key to assessing the vulnerability of peri-urban ecosystems and improving spatial planning strategies. This study analyzes the dynamics of built-up expansion and associated land use trade-offs in the municipalities surrounding Cotonou, Benin, from 2002 to 2023, and simulates urban spatial growth trajectories to 2050 under three contrasting development scenarios. Multispectral Landsat imagery was classified using the Random Forest algorithm, and scenario-based projections were generated through the Land Change Modeler (LCM) in TerrSet. Classification accuracies were high (Kappa > 0.98), ensuring the reliability of results. Over the two-decade period, built-up/bare soil areas expanded by 12 %, while vegetation and others areas declined by 11.8 %, reflecting a moderate diffusion pattern and medium-speed urban spatial growth. Scenario projections indicate continued land conversion under the Rapid Economic Growth and Current Trend scenarios, primarily at the expense of vegetated areas. In contrast, the Green-city scenario highlights the potential for reversing land degradation through reforestation and spatial containment. These findings reveal critical trade-offs between development and environmental conservation, and demonstrate the value of scenario-based remote sensing approaches for guiding sustainable urban planning in rapidly transforming urban fringes of coastal West Africa.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"28 ","pages":"Article 100263"},"PeriodicalIF":3.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145519734","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}
Pub Date : 2025-12-01Epub Date: 2025-07-01DOI: 10.1016/j.cacint.2025.100223
Feng Han , Meiqu Lu , Donghong Qin , Guitao Zheng , Guihong Zeng , Yan Tan , Zhongyang Wu , Haijian Lu , Jun Wang , Yirong Deng , Hui He
Interpreting the drivers of housing price dynamics is essential for promoting sustainable urban development, particularly in rapidly urbanizing cities in China. We adopted a data-driven approach by integrating Random Forest (RF) with SHAP (SHapley Additive Explanations) to enhance model interpretability and uncover non-linear relationships. A comprehensive dataset of 2,508 residential communities in South China was compiled using web-crawled property attributes and GIS-derived geospatial indicators. The RF model achieved a robust performance, with an average training R2 of 0.965 and testing R2 of 0.742. SHAP values were used to quantify the marginal contribution of each feature to housing price predictions, revealing that location-based factors and environmental attributes were the most influential. The model also identified price volatility in regions with high standard deviations, offering a new dimension for spatial housing risk assessment. The findings offer practical implications for policymakers aiming to stabilize housing markets, improve affordability, and guide data-informed infrastructure investments. The study also demonstrates the utility of explainable AI techniques in advancing sustainable urban development research.
{"title":"Exploring housing price dynamics in sustainable cities through a cooperated big data driven machine learning method: case study on a typical city in China","authors":"Feng Han , Meiqu Lu , Donghong Qin , Guitao Zheng , Guihong Zeng , Yan Tan , Zhongyang Wu , Haijian Lu , Jun Wang , Yirong Deng , Hui He","doi":"10.1016/j.cacint.2025.100223","DOIUrl":"10.1016/j.cacint.2025.100223","url":null,"abstract":"<div><div>Interpreting the drivers of housing price dynamics is essential for promoting sustainable urban development, particularly in rapidly urbanizing cities in China. We adopted a data-driven approach by integrating Random Forest (RF) with SHAP (SHapley Additive Explanations) to enhance model interpretability and uncover non-linear relationships. A comprehensive dataset of 2,508 residential communities in South China was compiled using web-crawled property attributes and GIS-derived geospatial indicators. The RF model achieved a robust performance, with an average training R<sup>2</sup> of 0.965 and testing R<sup>2</sup> of 0.742. SHAP values were used to quantify the marginal contribution of each feature to housing price predictions, revealing that location-based factors and environmental attributes were the most influential. The model also identified price volatility in regions with high standard deviations, offering a new dimension for spatial housing risk assessment. The findings offer practical implications for policymakers aiming to stabilize housing markets, improve affordability, and guide data-informed infrastructure investments. The study also demonstrates the utility of explainable AI techniques in advancing sustainable urban development research.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"28 ","pages":"Article 100223"},"PeriodicalIF":3.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144597373","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}
Pub Date : 2025-12-01Epub Date: 2025-07-01DOI: 10.1016/j.cacint.2025.100222
Elnazir Ramadan , Suliman Abdalla , Ali Al Ahbabi , Tarig Gibreel , Naeema Al Hosani
In arid regions of the Global South, particularly the Gulf Cooperation Council (GCC) states, adopting agricultural technologies is vital for maximizing productivity and achieving sustainability. Despite their demonstrated benefits, adoption rates among small-scale farmers remain low due to water scarcity, environmental degradation, and socio-cultural and institutional barriers. This study explores the factors that influence farmers’ perceptions and decisions to adopt agricultural technologies, in small-scale urban farms in the pre-urban areas., providing valuable insights for enhancing adoption in these challenging environments. By utilizing the Unified Theory of Acceptance and Use of Technology (UTAUT) framework, along with diffusion of innovation, institutional and risk theories, data was gathered through a structured questionnaire and analyzed using ordinal logistic regression (OLR). The analysis identified key drivers of adoption, including performance expectancy, effort expectancy, social influence, facilitating conditions, trust in government and technology providers, and cultural norms. Perceived risk negatively influenced adoption, while compatibility was not statistically significant. The findings highlight the importance of creating supportive environments through transparent communication, infrastructure development, and tailored assistance. Recommendations focus on leveraging social networks, fostering trust, mitigating risks, and aligning technologies with cultural practices to scale up sustainable technology dissemination. This study offers valuable insights for policymakers and practitioners aiming to promote agricultural technology adoption in arid environments, contributing to sustainable development discourse in the Global South.
{"title":"Towards sustainable urban agriculture in the arid GCC states: Drivers of technology adoption among small-scale farmers","authors":"Elnazir Ramadan , Suliman Abdalla , Ali Al Ahbabi , Tarig Gibreel , Naeema Al Hosani","doi":"10.1016/j.cacint.2025.100222","DOIUrl":"10.1016/j.cacint.2025.100222","url":null,"abstract":"<div><div>In arid regions of the Global South, particularly the Gulf Cooperation Council (GCC) states, adopting agricultural technologies is vital for maximizing productivity and achieving sustainability. Despite their demonstrated benefits, adoption rates among small-scale farmers remain low due to water scarcity, environmental degradation, and socio-cultural and institutional barriers. This study explores the factors that influence farmers’ perceptions and decisions to adopt agricultural technologies, in small-scale urban farms in the pre-urban areas., providing valuable insights for enhancing adoption in these challenging environments. By utilizing the Unified Theory of Acceptance and Use of Technology (UTAUT) framework, along with diffusion of innovation, institutional and risk theories, data was gathered through a structured questionnaire and analyzed using ordinal logistic regression (OLR). The analysis identified key drivers of adoption, including performance expectancy, effort expectancy, social influence, facilitating conditions, trust in government and technology providers, and cultural norms. Perceived risk negatively influenced adoption, while compatibility was not statistically significant. The findings highlight the importance of creating supportive environments through transparent communication, infrastructure development, and tailored assistance. Recommendations focus on leveraging social networks, fostering trust, mitigating risks, and aligning technologies with cultural practices to scale up sustainable technology dissemination. This study offers valuable insights for policymakers and practitioners aiming to promote agricultural technology adoption in arid environments, contributing to sustainable development discourse in the Global South.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"28 ","pages":"Article 100222"},"PeriodicalIF":3.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144549749","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}
Pub Date : 2025-12-01Epub Date: 2025-08-05DOI: 10.1016/j.cacint.2025.100232
M. Matias , G. Mills , T. Silva , C. Girotti , A. Lopes
The urban heat island (UHI), which describes the warmer temperature over urban landscape, is the most studied climate effect of cities. Most studies focus on the surface and canopy layers, particularly in common urban configurations such as street canyons. The causes of the UHI include aspects of physical form, fabric and of functions and, while urban forms are treated as fixed (over short time periods), functions are considered dynamic. In this context, the thermal and radiative properties of street facets like roads are critical urban canopy parameters (UCPs) that are used to understand heat storage and surface-air exchanges. However, the role of vehicles, especially parked ones, in modifying these surface properties and associated UCPs has been largely overlooked. This short contribution examines the impact of parked and mobile vehicles in cities using data from Lisbon, Portugal. Our findings highlight that parked vehicles significantly alter surface thermal properties in densely built areas, where road coverage is extensive and UHI intensity is greatest. These insights underscore the need to consider parked vehicles in urban heat island studies and the potential for spatially targeted mitigation strategies, such as restricting parking in identified hotspots, constructing shading structures, and promoting light, over dark, coloured vehicles.
{"title":"The underestimated impact of parked cars in urban warming.","authors":"M. Matias , G. Mills , T. Silva , C. Girotti , A. Lopes","doi":"10.1016/j.cacint.2025.100232","DOIUrl":"10.1016/j.cacint.2025.100232","url":null,"abstract":"<div><div>The urban heat island (UHI), which describes the warmer temperature over urban landscape, is the most studied climate effect of cities. Most studies focus on the surface and canopy layers, particularly in common urban configurations such as street canyons. The causes of the UHI include aspects of physical form, fabric and of functions and, while urban forms are treated as fixed (over short time periods), functions are considered dynamic. In this context, the thermal and radiative properties of street facets like roads are critical urban canopy parameters (UCPs) that are used to understand heat storage and surface-air exchanges. However, the role of vehicles, especially parked ones, in modifying these surface properties and associated UCPs has been largely overlooked. This short contribution examines the impact of parked and mobile vehicles in cities using data from Lisbon, Portugal. Our findings highlight that parked vehicles significantly alter surface thermal properties in densely built areas, where road coverage is extensive and UHI intensity is greatest. These insights underscore the need to consider parked vehicles in urban heat island studies and the potential for spatially targeted mitigation strategies, such as restricting parking in identified hotspots, constructing shading structures, and promoting light, over dark, coloured vehicles.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"28 ","pages":"Article 100232"},"PeriodicalIF":3.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144842622","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}
Pub Date : 2025-12-01Epub Date: 2025-07-08DOI: 10.1016/j.cacint.2025.100225
Berfin Eren, Mehmet Emin Şalgamcıoğlu
Diyarbakır, located in southeastern Turkey, is known for its rich history and unique urban layout. The Suriçi region, which functions as the historic heart of Diyarbakır, has undergone significant changes over the years. In particular, developments over the last century have begun to reshape Suriçi’s spatial identity, which has evolved through historical processes influenced by spatial experiences. As a result, two distinct morphologies have emerged in the city: formation and deterioration. The shift between these two morphologies has fostered urban resilience. This paper introduces comprehensive, multi-faceted methods for measuring resilience based on space syntax theory and investigates resilience concepts through the relationships between space and society across various scales and time periods. Examining resilience at the urban scale through the street networks of different historical periods, produced via space syntax analysis, facilitates the formulation and analysis of patterns in urban movement, interactions, and past socio-economic activities. At the building scale, space syntax analysis reveals the spatial patterns of the altered morphological characteristics of traditional houses. It evaluates how these modified layouts reflect social, cultural, and political realities, and how they differ from the originally designed houses in spatial terms. The analysis of the city shows that while the overall position of the central area remains relatively stable, its morphology undergoes transformations. Traditional houses have retained certain features from their original designs; however, they have experienced modifications, such as subdivisions into multiple houses and changes in spatial arrangement. The study’s innovative integration of diachronic spatial analysis with socio-political context enriches the field by providing a more comprehensive model for assessing and forecasting urban resilience in historically significant areas, potentially guiding more effective preservation and development strategies.
{"title":"Scale, state and the city: Transformation of Diyarbakır, Suriçi region through the framework of spatial morphology and urban resilience","authors":"Berfin Eren, Mehmet Emin Şalgamcıoğlu","doi":"10.1016/j.cacint.2025.100225","DOIUrl":"10.1016/j.cacint.2025.100225","url":null,"abstract":"<div><div>Diyarbakır, located in southeastern Turkey, is known for its rich history and unique urban layout. The Suriçi region, which functions as the historic heart of Diyarbakır, has undergone significant changes over the years. In particular, developments over the last century have begun to reshape Suriçi’s spatial identity, which has evolved through historical processes influenced by spatial experiences. As a result, two distinct morphologies have emerged in the city: formation and deterioration. The shift between these two morphologies has fostered urban resilience. This paper introduces comprehensive, multi-faceted methods for measuring resilience based on space syntax theory and investigates resilience concepts through the relationships between space and society across various scales and time periods. Examining resilience at the urban scale through the street networks of different historical periods, produced via space syntax analysis, facilitates the formulation and analysis of patterns in urban movement, interactions, and past socio-economic activities. At the building scale, space syntax analysis reveals the spatial patterns of the altered morphological characteristics of traditional houses. It evaluates how these modified layouts reflect social, cultural, and political realities, and how they differ from the originally designed houses in spatial terms. The analysis of the city shows that while the overall position of the central area remains relatively stable, its morphology undergoes transformations. Traditional houses have retained certain features from their original designs; however, they have experienced modifications, such as subdivisions into multiple houses and changes in spatial arrangement. The study’s innovative integration of diachronic spatial analysis with socio-political context enriches the field by providing a more comprehensive model for assessing and forecasting urban resilience in historically significant areas, potentially guiding more effective preservation and development strategies.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"28 ","pages":"Article 100225"},"PeriodicalIF":3.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144623304","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}
Pub Date : 2025-12-01Epub Date: 2025-09-24DOI: 10.1016/j.cacint.2025.100248
Ivana Vujić , Sanda Lenzholzer , Gerrit J. Carsjens , Robert D. Brown , Silvia G. Tavares
Urban climate phenomena significantly affect the well-being of city populations. However, recent studies reveal limited awareness of urban climate among key stakeholders who shape climate adaptation efforts. Communication offers a promising means of addressing this gap and mobilising stakeholders towards effective adaptation. Yet, the effectiveness of communication in engaging these groups remains unclear. This study investigates how urban climate communication functions among key stakeholder groups: citizens, politicians, urban planners and designers, and urban climate experts, and examines its role in fostering awareness and driving action. This study employed a qualitative research design using key informant interviews with 92 experts across nine countries. The findings reveal a widespread need for improved communication, particularly stronger collaboration between urban climate experts and urban planners and designers. These groups hold essential knowledge and complementary expertise and should form closer partnerships with political decision-makers. Interviews revealed that two-thirds of urban planners and designers struggle to translate climate data into actionable strategies, citing inaccessible communication from experts. Two-thirds of respondents also identified a persistent disconnect between policymakers and citizens, resulting in fragmented adaptation efforts. The study underscores the importance of tailored, interactive communication strategies that account for diverse governance structures, socio-economic conditions, and development contexts across the countries examined. The findings highlight the urgency of strengthening urban climate communication to enable more inclusive, coordinated, and effective adaptation responses.
{"title":"Communicating Urban Climate: An International Overview","authors":"Ivana Vujić , Sanda Lenzholzer , Gerrit J. Carsjens , Robert D. Brown , Silvia G. Tavares","doi":"10.1016/j.cacint.2025.100248","DOIUrl":"10.1016/j.cacint.2025.100248","url":null,"abstract":"<div><div>Urban climate phenomena significantly affect the well-being of city populations. However, recent studies reveal limited awareness of urban climate among key stakeholders who shape climate adaptation efforts. Communication offers a promising means of addressing this gap and mobilising stakeholders towards effective adaptation. Yet, the effectiveness of communication in engaging these groups remains unclear. This study investigates how urban climate communication functions among key stakeholder groups: citizens, politicians, urban planners and designers, and urban climate experts, and examines its role in fostering awareness and driving action. This study employed a qualitative research design using key informant interviews with 92 experts across nine countries. The findings reveal a widespread need for improved communication, particularly stronger collaboration between urban climate experts and urban planners and designers. These groups hold essential knowledge and complementary expertise and should form closer partnerships with political decision-makers. Interviews revealed that two-thirds of urban planners and designers struggle to translate climate data into actionable strategies, citing inaccessible communication from experts. Two-thirds of respondents also identified a persistent disconnect between policymakers and citizens, resulting in fragmented adaptation efforts. The study underscores the importance of tailored, interactive communication strategies that account for diverse governance structures, socio-economic conditions, and development contexts across the countries examined. The findings highlight the urgency of strengthening urban climate communication to enable more inclusive, coordinated, and effective adaptation responses.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"28 ","pages":"Article 100248"},"PeriodicalIF":3.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145319988","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}
This research formulates a context-sensitive classification framework for the evaluation of public spaces within rapidly urbanizing Chinese neighbourhoods, with the objective of informing regeneration strategies that reconcile modernization with cultural heritage preservation. Focusing on Chengdu’s partially developed Ma’an neighbourhood, the study investigates the transformation of five public space typologies, e.g., street frontages, public open spaces, public green spaces, semi-public areas, and corridor spaces, under contemporary urban pressures. A mixed-methods approach was employed, integrating historical mapping, urban morphometric analysis, and ethnographic fieldwork, including site observation and semi-structured interviews with residents and local stakeholders. Findings indicate that spatial reconfiguration has altered accessibility, patterns of use, and collective identity. The study is guided by three research questions: (1) How have public spaces in the Ma’an neighbourhood changed under the pressures of urban modernisation? (2) What socio-cultural consequences have these changes had for community identity and social cohesion? (3) How can the Ma’an case inform strategies for balancing redevelopment with cultural preservation? The results show that traditional spatial types continue to support localized interactions and cultural memory, whereas newer spaces prioritize multifunctional and commercial uses. In doing so, the study contributes to theoretical discussions in urban morphology and socio-cultural geography while offering a replicable public space classification framework for cultural heritage-sensitive urban renewal applicable to transitional neighbourhoods in China nationally and in comparable contexts.
{"title":"A Context-Sensitive framework for public space Transformation: Morphometrics and ethnography in Chengdu’s Ma’an neighbourhood","authors":"Yaozhong Zhang , Branka Dimitrijevic , Ombretta Romice","doi":"10.1016/j.cacint.2025.100255","DOIUrl":"10.1016/j.cacint.2025.100255","url":null,"abstract":"<div><div>This research formulates a context-sensitive classification framework for the evaluation of public spaces within rapidly urbanizing Chinese neighbourhoods, with the objective of informing regeneration strategies that reconcile modernization with cultural heritage preservation. Focusing on Chengdu’s partially developed <em>Ma’an</em> neighbourhood, the study investigates the transformation of five public space typologies, e.g., street frontages, public open spaces, public green spaces, semi-public areas, and corridor spaces, under contemporary urban pressures. A mixed-methods approach was employed, integrating historical mapping, urban morphometric analysis, and ethnographic fieldwork, including site observation and semi-structured interviews with residents and local stakeholders. Findings indicate that spatial reconfiguration has altered accessibility, patterns of use, and collective identity. The study is guided by three research questions: (1) How have public spaces in the <em>Ma’an</em> neighbourhood changed under the pressures of urban modernisation? (2) What socio-cultural consequences have these changes had for community identity and social cohesion? (3) How can the <em>Ma’an</em> case inform strategies for balancing redevelopment with cultural preservation? The results show that traditional spatial types continue to support localized interactions and cultural memory, whereas newer spaces prioritize multifunctional and commercial uses. In doing so, the study contributes to theoretical discussions in urban morphology and socio-cultural geography while offering a replicable public space classification framework for cultural heritage-sensitive urban renewal applicable to transitional neighbourhoods in China nationally and in comparable contexts.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"28 ","pages":"Article 100255"},"PeriodicalIF":3.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145465700","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}
Pub Date : 2025-12-01Epub Date: 2025-07-13DOI: 10.1016/j.cacint.2025.100224
Jawoon Gu , Dongwoo Kim , Chulmin Jun , Seungwoo Son
{"title":"Corrigendum to “Quantitative assessment of factors that influence heat vulnerability in residential areas using machine learning and unmanned aerial vehicle” [City and Environment Interactions 27 (2025) 100214]","authors":"Jawoon Gu , Dongwoo Kim , Chulmin Jun , Seungwoo Son","doi":"10.1016/j.cacint.2025.100224","DOIUrl":"10.1016/j.cacint.2025.100224","url":null,"abstract":"","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"28 ","pages":"Article 100224"},"PeriodicalIF":3.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145733486","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}
The urban heat island (UHI) effect poses growing environmental and public health challenges in rapidly urbanizing regions. This study quantifies the cooling intensity of Urban Green Spaces (UGS) on Land Surface Temperature (LST) in Hanoi Metropolitan Area, Vietnam. A five-year composite (2020–2024) of Landsat 8 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) data, supplemented by a Digital Elevation Model (DEM), was processed using the Google Earth Engine (GEE). The LST was retrieved via a validated split-window algorithm and examined alongside key satellite indices, including the Normalized Difference Vegetation Index (NDVI), Relative Surface Evapotranspiration Index (RSETI), and Normalized Difference Built-up Index (NDBI). The cooling capacity of UGS was quantified through the decay analysis across buffer zones, revealing a summer LST reduction of up to 2.14 °C within a 100 m radius, with the effect tapering beyond 800 m. To further explore LST responses under land use/land cover (LULC) change and climate warming scenarios, the Random Forest model was applied. Simulation results indicated that a 10 % increase in vegetation cover reduced LST by 0.56 °C in summer and 0.30 °C in winter, whereas a 10 % decrease led to increases of 0.58 °C and 0.36 °C, respectively. Under a projected + 1.5 °C climate warming scenario, these cooling gains were fully offset, resulting in net LST increases of 0.94 °C in summer and 1.2 °C in winter. Moreover, thermal stress conditions were evaluated utilizing the Urban Thermal Field Variance Index (UTFVI). Vegetation expansion increased thermally comfortable zones (UTFVI < 0) from a baseline of 50–55 % to 60–65 % of urban area, while vegetation loss intensified thermal hotspots (UTFVI ≥ 0), expanding stressed zones to 55–60 %. In conclusion, these findings offer critical, data-driven insights for urban planners, emphasizing the strategic role of green infrastructure in mitigating urban heat and enhancing climate resilience in densely populated environments.
{"title":"Quantifying the cooling intensity of urban green spaces (UGSs) on land surface temperature (LST) in Hanoi metropolitan Area, Vietnam","authors":"Kim-Anh Nguyen , Minh-Tin Thai , Tewabe Melkamu , Truong-Vinh Le , Yuei-An Liou","doi":"10.1016/j.cacint.2025.100264","DOIUrl":"10.1016/j.cacint.2025.100264","url":null,"abstract":"<div><div>The urban heat island (UHI) effect poses growing environmental and public health challenges in rapidly urbanizing regions. This study quantifies the cooling intensity of Urban Green Spaces (UGS) on Land Surface Temperature (LST) in Hanoi Metropolitan Area, Vietnam. A five-year composite (2020–2024) of Landsat 8 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) data, supplemented by a Digital Elevation Model (DEM), was processed using the Google Earth Engine (GEE). The LST was retrieved via a validated split-window algorithm and examined alongside key satellite indices, including the Normalized Difference Vegetation Index (NDVI), Relative Surface Evapotranspiration Index (RSETI), and Normalized Difference Built-up Index (NDBI). The cooling capacity of UGS was quantified through the decay analysis across buffer zones, revealing a summer LST reduction of up to 2.14 °C within a 100 m radius, with the effect tapering beyond 800 m. To further explore LST responses under land use/land cover (LULC) change and climate warming scenarios, the Random Forest model was applied. Simulation results indicated that a 10 % increase in vegetation cover reduced LST by 0.56 °C in summer and 0.30 °C in winter, whereas a 10 % decrease led to increases of 0.58 °C and 0.36 °C, respectively. Under a projected + 1.5 °C climate warming scenario, these cooling gains were fully offset, resulting in net LST increases of 0.94 °C in summer and 1.2 °C in winter. Moreover, thermal stress conditions were evaluated utilizing the Urban Thermal Field Variance Index (UTFVI). Vegetation expansion increased thermally comfortable zones (UTFVI < 0) from a baseline of 50–55 % to 60–65 % of urban area, while vegetation loss intensified thermal hotspots (UTFVI ≥ 0), expanding stressed zones to 55–60 %. In conclusion, these findings offer critical, data-driven insights for urban planners, emphasizing the strategic role of green infrastructure in mitigating urban heat and enhancing climate resilience in densely populated environments.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"28 ","pages":"Article 100264"},"PeriodicalIF":3.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145519637","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}
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