City and Environment Interactions最新文献

{"title":"Impact of urban morphology on land surface temperature: A case study of the central Tokyo, Japan","authors":"Ruci Wang ,&nbsp;Yuji Murayama ,&nbsp;Fei Liu ,&nbsp;Xinmin Zhang ,&nbsp;Hao Hou ,&nbsp;Takehiro Morimoto ,&nbsp;Ahmed Derdouri","doi":"10.1016/j.cacint.2025.100227","DOIUrl":"10.1016/j.cacint.2025.100227","url":null,"abstract":"<div><div>The spatial composition and three-dimensional (3D) configuration of buildings significantly influence land surface temperature (LST), playing a key role in urban heat island (UHI) mitigation and sustainable urban development. However, systematically quantifying these effects remains challenging due to the limitations in data resolution. This study addresses this gap by analyzing LST variations in six representative urban areas in central Tokyo, incorporating multi-source remote sensing data and detailed building information. We applied spatial analysis and a random forest regression model to assess the relative importance of building characteristics on LST across different urban morphologies. The results indicate that building height and volume are negatively correlated with LST, suggesting that taller buildings with larger volumes may contribute to lower surface temperatures primarily through increased shading. In central Tokyo, urban planning regulations require that taller buildings meet specific Floor Area Ratio (FAR) and setback standards, particularly along major roads. These regulations ensure greater spacing and access to sunlight, which can also facilitate localized airflow. As such, the observed cooling effect may result from a combination of shading and planning-induced ventilation conditions, contingent upon building arrangement and surrounding open space. In contrast, higher building density and greater building coverage lead to increased LST, particularly in compact, low-rise residential areas. Among all variables, building height, volume, and density emerged as the most influential factors affecting LST, highlighting the critical role of urban morphology in regulating thermal environments. These findings provide quantitative insights into how 3D urban structures impact LST, offering evidence-based guidance for optimizing urban planning strategies to mitigate UHI effects. The insights gained from central Tokyo can be extended to inform sustainable urban development in other high-density metropolitan areas worldwide.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"28 ","pages":"Article 100227"},"PeriodicalIF":3.9,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144654092","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":"Extensive objectified footprints: A multidimensional approach to spatial inequalities","authors":"Gomez Raimundo Elias ,&nbsp;Maria Gabriela Miño","doi":"10.1016/j.cacint.2025.100226","DOIUrl":"10.1016/j.cacint.2025.100226","url":null,"abstract":"<div><div>The article investigates the spatial footprints of anthropogenic emissions and infrastructures in Arcos de Valdevez, Portugal, and their association with the social composition of its parishes during the last years (2021–2023). Through the analysis of air quality, electric nightlight radiation, building age, and road networks, the research establishes connections between these physical footprints and the economic and social composition of the resident population. The study employs satellite imagery, open-access data, and the Portuguese Census of 2021 to conduct a Principal Component Analysis (PCA) and a Mixed Classification (MC), allowing for the spatial mapping of these relationships. By examining nightlight radiance intensity, road and building density, and pollutants such particulate matter (PM2.5 and PM10), nitrogen dioxide (NO2), sulphur dioxide (SO2), Carbon Monoxide (CO), ozone (O3, tropospheric), and ammonia (NH3), the study highlights the unequal distribution of physical imprints of social and economic activities shaping the environment. The findings examine the transformed environment affecting quality of life, identifying distinct classes of areas characterised by specific configurations of air pollution, infrastructure development, nocturnal electric radiance, and the social composition of residents.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"28 ","pages":"Article 100226"},"PeriodicalIF":3.9,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144633639","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":"Scale, state and the city: Transformation of Diyarbakır, Suriçi region through the framework of spatial morphology and urban resilience","authors":"Berfin Eren,&nbsp;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":"2025-07-08","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}

{"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 ,&nbsp;Meiqu Lu ,&nbsp;Donghong Qin ,&nbsp;Guitao Zheng ,&nbsp;Guihong Zeng ,&nbsp;Yan Tan ,&nbsp;Zhongyang Wu ,&nbsp;Haijian Lu ,&nbsp;Jun Wang ,&nbsp;Yirong Deng ,&nbsp;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 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.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"28 ","pages":"Article 100223"},"PeriodicalIF":3.9,"publicationDate":"2025-07-01","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}

{"title":"Towards sustainable urban agriculture in the arid GCC states: Drivers of technology adoption among small-scale farmers","authors":"Elnazir Ramadan ,&nbsp;Suliman Abdalla ,&nbsp;Ali Al Ahbabi ,&nbsp;Tarig Gibreel ,&nbsp;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":"2025-07-01","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}

{"title":"Urban morphology impacts on urban microclimate using artificial intelligence – a review","authors":"Ahmed Marey ,&nbsp;Jiwei Zou ,&nbsp;Sherif Goubran ,&nbsp;Liangzhu Leon Wang ,&nbsp;Abhishek Gaur","doi":"10.1016/j.cacint.2025.100221","DOIUrl":"10.1016/j.cacint.2025.100221","url":null,"abstract":"<div><div>Urban morphology, defined by the characteristics and spatial arrangement of urban structures, significantly affects urban microclimate in terms of thermal environments, wind dynamics, energy use, and outdoor air quality. Despite extensive research in this field, these effects are intensified by climate change and rapid urbanization, posing challenges to urban sustainability, such as poor air quality, increased energy demands, and pedestrian discomfort. While artificial intelligence (AI) and machine learning (ML) offer promising solutions for addressing these challenges, the field lacks standardized approaches for implementing these technologies. By leveraging urban morphology indicators such as sky view factor, building density, and green space ratio, AI models can analyze complex interactions across various spatiotemporal scales. However, significant variability in methodologies, indicators, and datasets limits the generalizability and applicability of these techniques. By synthesizing 111 studies over the last decade utilizing urban morphology and AI models to predict urban microclimate, this review aims to bridge these gaps and highlight AI’s unique potential to contribute to the field. Analyzed studies reported that key urban morphology indicators, particularly building density and height, explain up to 75% of land surface temperature variance across seasons, while sky view factor accounts for over 67% of heat exposure variations in urban environments, with these findings emerging from multiple independent investigations across diverse urban contexts. Random Forest emerges as the most widely adopted AI technique, demonstrating robust performance across different applications. Emerging trends, such as hybrid approaches combining AI with physics-based models, are highlighted as promising avenues for advancing the field. Our review identifies the need for standardized frameworks and datasets to enhance model applicability. The study presents actionable insights for climate-responsive urban planning and lays the groundwork for interdisciplinary studies, enabling the development of resilient, sustainable urban environments amid the growing challenges of urbanization and climate change.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"28 ","pages":"Article 100221"},"PeriodicalIF":3.9,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144549748","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":"A causal relationship model of urban environmental factors affecting the subjective well-being of Japanese immigrant workers in Thailand","authors":"Mari Uemura,&nbsp;Orapin Laosee,&nbsp;Cheerawit Rattanapan,&nbsp;Piyapong Janmaimool","doi":"10.1016/j.cacint.2025.100218","DOIUrl":"10.1016/j.cacint.2025.100218","url":null,"abstract":"<div><div>This study aims to evaluate the subjective well-being (SWB) of Japanese immigrant workers residing in Bangkok, Thailand, and to demonstrate how the SWB is affected by urban environments via health-related factors and social support by analyzing a causal relationship model of urban environmental factors affecting SWB. The study used a cross-sectional method based on questionnaire surveys of 389 Japanese residing in Bangkok, Thailand. The surveys were conducted during 15 July-15 August 2024. SWB was divided into two types: 1) cognitive well-being (CWB) measured by the Satisfaction with Life Scale (SWLS), and 2) affective well-being (AWB) measured by the Domain of Affective Well-Being (D-FAW). A measurement model was first tested to examine how much of each indicator’s variance could be explained by its construct and to test the correlation among constructs. The constructs in the model included 1) perceived quality of natural environments (QNE), 2) social neighborhood environmental perception (NEP), 3) access to green spaces (AGS), 4) perceived stress (PS), 5) sleep quality (SQ), 6) social support (SS), and 7) job satisfaction (JS). Subsequently, a partial least squares structural equation modeling (PLS-SEM) was applied to test the causal relationships among constructs to predict CWB and AWB. The results of PLS-SEM revealed that NEP directly and significantly affected AWB, and AGS directly and significantly affected CWB. QNE had indirect effects on CWB and AWB via JS. AGS indirectly affected both SWB via PHS and SS. NEP indirectly affected AWB via SQ and PS. The results point to urban environmental factors as important factors which could affect health-related factors and social factors, and finally constitute to the SWB of Japanese workers residing in Bangkok city, Thailand. Notably, immigrants may construct emotion comparisons regarding urban environments in their current place and in their home country, and these comparisons potentially affect SWB. The workers should be provided with supportive urban environments to improve SWB or trained on how to adjust their living to certain conditions of urban environments to avoid mental challenges.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"28 ","pages":"Article 100218"},"PeriodicalIF":3.9,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144481775","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":"Optimizing seasonal performance of advanced heat mitigation solutions for city-scale thermal management in Greater Kuala Lumpur","authors":"Norishahaini Mohamed Ishak ,&nbsp;Ansar Khan ,&nbsp;Jamalunlaili Abdullah ,&nbsp;Siti Aekbal Salleh ,&nbsp;Mattheos Santamouris","doi":"10.1016/j.cacint.2025.100219","DOIUrl":"10.1016/j.cacint.2025.100219","url":null,"abstract":"<div><div>Tropical cities like Kuala Lumpur are increasingly vulnerable to urban heat due to rapid urbanization, resulting in greater thermal discomfort, higher energy consumption, and environmental degradation. This study is among the first to comprehensively evaluate the seasonal performance of advanced urban heat mitigation solutions across diverse urban forms in the Greater Kuala Lumpur. We assess city-scale thermal management through high-resolution numerical simulations using the weather research and forecasting (WRF) model coupled with the single-layer urban canopy model (SLUCM), analysing one baseline and five mitigation scenarios: (a) control (no intervention), (b) cool materials (roof albedo 0.80, ground albedo 0.40), (c) super cool materials (roof albedo 0.95), (d) 30 % non-irrigated vegetation, (e) 60 percent non-irrigated vegetation, and (f) a combination of super cool materials with 60 % vegetation. Both monsoon and non-monsoon periods were considered to capture seasonal variability in performance. At 14:00 LT, super cool materials achieved the greatest ambient temperature reductions with 1.8 °C during the monsoon and 2.2 °C during the non-monsoon. Cool materials followed with reductions of 1.5 °C and 1.7 °C. Vegetation at 30 % reduced ambient temperatures by 0.8 to 0.9 °C, while 60 % vegetation achieved 1.2 to 1.5 °C reductions. The combined strategy delivered the highest reductions of 3.1 °C in the monsoon and 3.8 °C in the non-monsoon period. Surface temperature reductions were also most pronounced under the combined strategy, reaching 9.6 °C and 9.8 °C respectively. Individually, super cool materials reduced surface temperatures by up to 6.3 °C, cool materials by up to 5.9 °C, and 60 % vegetation by up to 3.4 °C across both seasons. The effectiveness of each strategy varied seasonally, with super cool and high-albedo surfaces performing best during the dry, high-radiation non-monsoon period, while vegetation offered more consistent cooling during the humid, cloud-covered monsoon season. These contrasts highlight the need for climate-sensitive, integrated mitigation approaches. To assess real-world applicability, these strategies were evaluated across representative local climate zones (LCZs) in Greater Kuala Lumpur. In compact high-rise and mid-rise building areas, it resulted in ambient temperature reductions of up to 4.2 °C, surface temperature drops of 11.0 °C, and universal thermal climate index (UTCI) reductions of 3.5 °C, significantly enhancing outdoor thermal comfort in dense urban areas. This study demonstrates that integrated strategies combining reflective materials with substantial vegetation coverage outperform isolated interventions. The findings provide scalable, context-specific, and seasonally adaptive guidance to support urban planning, climate-sensitive policy, and sustainable urban design in tropical cities, helping to improve long-term livability and resilience against urban heat.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"28 ","pages":"Article 100219"},"PeriodicalIF":3.9,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144571471","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":"Exploring the role of urban nature in mitigating the climate footprint of urbanization in Ethiopia","authors":"Tikabo Gebreyesus ,&nbsp;Christian Borgemeister ,&nbsp;Cristina Herrero- Jáuregui","doi":"10.1016/j.cacint.2025.100217","DOIUrl":"10.1016/j.cacint.2025.100217","url":null,"abstract":"<div><div>Urban centers in sub-Saharan Africa face climate vulnerabilities due to rapid urbanization and outdated development strategies that prioritize grey infrastructure over natural elements. In Ethiopia, urban green spaces remain underutilized despite their potential to enhance climate resilience. This study aims to explore the climate mitigation potential of green spaces in Hawassa, Ethiopia, by assessing carbon storage in trees using allometric equations within a customized i-Tree Eco model, complemented by soil and litter carbon analysis for selected parks. We collected data from stratified random sample plots across land uses, along with climate and location information to parameterize the model. Urban trees, soil, and litter carbon pools together stored 78,199 tC, mitigating 286,990.30 tCO₂e, with carbon sequestration offsetting 4.9 % of the city’s annual emissions. The highest carbon stock was observed in soil (189.8 ± 8.5 tC ha⁻1), while litter carbon was the least (1.08 ± 0.12 tC ha⁻1). Hawassa’s tree carbon density (12.01 tC ha⁻1) was lower than other Ethiopian cities, influenced by urbanization and methodological variations. In Hawassa, land uses with minimal impervious and greater green space exhibited the highest carbon storage. Carbon sink positively correlated with tree metrics, while urbanization had a negative effect. Spatial mappings revealed an uneven distribution of carbon stocks, with impervious areas dominating low-carbon storage regions. These findings highlight the role of green spaces in climate mitigation and the need to integrate them into spatial planning and carbon policies. Ethiopian cities must balance grey and natural elements to enhance climate resilience and achieve emissions self-sufficiency.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"27 ","pages":"Article 100217"},"PeriodicalIF":3.9,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144297693","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":"Synergistic integration of urban agriculture and green infrastructure to enhance urban sustainability in Bahir Dar, Ethiopia","authors":"Ermias Debie","doi":"10.1016/j.cacint.2025.100216","DOIUrl":"10.1016/j.cacint.2025.100216","url":null,"abstract":"<div><div>Rapid urbanization and environmental degradation in Bahir Dar City underscore the urgent need for integrated urban solutions; however, comprehensive studies on the combined effects of urban agriculture (UA) and green infrastructure (GI) practices—critical for sustainable urban development—remain limited. This study investigates UA-GI integration through surveys and interviews with 99 stakeholders, complemented by participatory observations. The key barriers to integration—based on multiple-response data—include a lack of supportive policies and regulatory frameworks (87%), limited awareness (57%), and space constraints (51%). The multicriteria decision analysis ranked integrated practices as the most effective strategy (score: 16.81), followed by edible tree planting at garden centers (16.18), small gardens (13.83), and fence edge greening (11.46). These practices demonstrate strong synergies across environmental, social, and economic dimensions, making them top priorities for promoting urban sustainability. Structural equation modeling shows that thermal regulation and access to fresh food are critical factors for planning sustainable urban systems. Scaling up the integration of edible trees with vertical farming in residential gardens supported by policy and community engagement is essential to enhance food security, biodiversity, aesthetics, and microclimate regulation. The study underscores integrating nature-based solutions into city planning and provides a replicable framework for other rapidly urbanizing contexts in the Global South.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"27 ","pages":"Article 100216"},"PeriodicalIF":3.9,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144279916","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}