Sustainable Cities and Society最新文献_第4页

Harnessing green infrastructure for urban heat island mitigation: Evidence-based strategies for sustainable and climate-resilient cities 利用绿色基础设施缓解城市热岛：基于证据的可持续和气候适应型城市战略

IF 12 1区工程技术

Sustainable Cities and Society Pub Date : 2025-10-01 DOI: 10.1016/j.scs.2025.106843

Yujing Bai , Yangang Xing

{"title":"Harnessing green infrastructure for urban heat island mitigation: Evidence-based strategies for sustainable and climate-resilient cities","authors":"Yujing Bai , Yangang Xing","doi":"10.1016/j.scs.2025.106843","DOIUrl":"10.1016/j.scs.2025.106843","url":null,"abstract":"<div><div>The urban heat island (UHI) effect poses a significant environmental and public health challenge, particularly in the context of climate change. While urban green infrastructure (UGI) is widely recognised for its cooling potential, its implementation and effectiveness in complex, high-density urban environments, especially in extremely cold climate cities, require a comprehensive multi-scale assessment. This study presents a holistic framework that integrates seasonal variability, socioeconomic transitions, and spatial heterogeneity to evaluate UHI mitigation strategies. Drawing on satellite imagery (Landsat and MODIS), land use surveys, socioeconomic regression analysis, and computational fluid dynamics (CFD) simulations using ENVI-MET 4.0, the study identifies UHI hotspots and assesses incremental, space-efficient greening interventions. A longitudinal case study (2000–2020) in a severely cold climate city in northeast China reveals that population decline did not reverse UHI or UGI trends, as the extent of built-up areas remained largely unchanged. The findings demonstrate that green roofs provide significant cooling benefits in high-density urban settings while also enhancing thermal regulation during winter months. By integrating analyses across multiple scales, this research offers a robust methodology for quantifying UHI mitigation potential and informing data-driven urban greening strategies. The study refines vegetation metrics using land survey data, challenges assumptions about seasonal UHI dynamics, and highlights the urgent need for targeted green infrastructure in both growing and shrinking urban contexts. Overall, the research contributes to a deeper understanding of green retrofitting in extreme climates and identifies future directions for policy development, design optimisation, and interdisciplinary approaches to climate-resilient urban planning.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"133 ","pages":"Article 106843"},"PeriodicalIF":12.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145269221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Urban air mobility in the built environment: A review of aerodynamic interactions, thermal effects, and simulation challenges 建筑环境中的城市空气流动性：空气动力学相互作用、热效应和模拟挑战的综述

IF 12 1区工程技术

Sustainable Cities and Society Pub Date : 2025-10-01 DOI: 10.1016/j.scs.2025.106853

Yuwei Dai , Feiyu Zhu , Wanli Tu , Haotian Zhu , Dan Qin , Haidong Wang , Zhiqiang  (John) Zhai

{"title":"Urban air mobility in the built environment: A review of aerodynamic interactions, thermal effects, and simulation challenges","authors":"Yuwei Dai , Feiyu Zhu , Wanli Tu , Haotian Zhu , Dan Qin , Haidong Wang , Zhiqiang  (John) Zhai","doi":"10.1016/j.scs.2025.106853","DOIUrl":"10.1016/j.scs.2025.106853","url":null,"abstract":"<div><div>Urban Air Mobility (UAM) is poised to transform urban transportation, yet its integration into dense metropolis introduces significant aerodynamic and thermal challenges. This review analyzes over 150 publications to assess how urban environments influence urban air mobility (UAM) safety and stability. It shows that the urban wind complexity driven by building density, height, shape, and layout, generates turbulence, wake vortices, and wind shear that threaten UAM safety during takeoff, landing, and hovering. Urban heat islands and surface heterogeneity further intensify buoyancy-driven turbulence, increasing risks for low-altitude flight paths. The paper also highlights the critical but underexplored interaction between urban turbulence and aircraft downwash, which significantly affects flight performance but lacks sufficient quantitative research. In addition, achieving computationally efficient and accurate urban airflow simulations remains a major challenge. Although hybrid modeling approaches and real-time data assimilation are proposed to enhance flight path planning and dynamic risk assessment, current research efforts are not yet adequate to fully support safe and scalable UAM deployment in complex urban environments. Overall, there is an urgent need for more targeted and interdisciplinary studies to address the unique operational risks. Advancing the understanding of urban environmental dynamics and their impact on UAM operations is essential for establishing a robust, data-driven foundation for safe and efficient urban air traffic management and the sustainable development of UAM technologies.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"133 ","pages":"Article 106853"},"PeriodicalIF":12.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spatiotemporal dynamics and nonlinear landscape-driven mechanisms of urban heat islands in a winter city: A case study of Harbin, China 冬季城市热岛的时空动态与非线性景观驱动机制——以哈尔滨为例

IF 12 1区工程技术

Sustainable Cities and Society Pub Date : 2025-10-01 DOI: 10.1016/j.scs.2025.106842

Qi An , Yu Dong , Wei Dong , Siyi Xiao

{"title":"Spatiotemporal dynamics and nonlinear landscape-driven mechanisms of urban heat islands in a winter city: A case study of Harbin, China","authors":"Qi An , Yu Dong , Wei Dong , Siyi Xiao","doi":"10.1016/j.scs.2025.106842","DOIUrl":"10.1016/j.scs.2025.106842","url":null,"abstract":"<div><div>With increasing global climate change, the urban heat island (UHI) effect poses substantial challenges to urban sustainability, particularly in winter cities. However, the interactions among climate, urbanization, and landscape changes influencing UHI dynamics in winter cities remain inadequately understood. To address this gap, Harbin—a representative winter city—was selected as a case study. This study used multi-temporal remote sensing data from 2002 to 2023 and developed an integrated analytical framework. The framework was designed to examine spatiotemporal patterns, quantify changes, and classify dynamic expansion types of UHIs. In addition, a random forest model combined with SHapley Additive exPlanations (SHAP) analysis was applied to reveal the nonlinear impacts of landscape changes on UHI dynamics. Results showed that daytime UHI extent fluctuated (364 to 547 km<sup>2</sup>), while nighttime UHI expanded from 369 km<sup>2</sup> in 2002 to 698 km<sup>2</sup> in 2020. Overlapping UHIs dominated both periods, but nighttime UHI exhibited a stronger and more consistent expansion than daytime. At night, UHI patches frequently emerged along major rivers, and strong UHI zones expanded towards suburban forest areas. Landscape transformations showed clear thresholds. For example, impervious surface ratios exceeding 20 % and population density increases above 2500 people/km<sup>2</sup> significantly intensified daytime UHI expansion. In contrast, increases in vegetation cover(EVI_change>0) and small water body changes (±5 %) were associated with lower nighttime land surface temperature (LST). These findings provide key insights into the nonlinear drivers of UHI dynamics in winter cities, supporting evidence-based urban planning and climate adaptation strategies.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"133 ","pages":"Article 106842"},"PeriodicalIF":12.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing outdoor thermal comfort through diverse vegetation, materials, and water bodies: A case study of Fath-Abad Garden in Kerman, Iran 通过不同的植被、材料和水体来提高室外热舒适性：以伊朗克尔曼的法特阿巴德花园为例

IF 12 1区工程技术

Sustainable Cities and Society Pub Date : 2025-10-01 DOI: 10.1016/j.scs.2025.106844

Arian Safavi-Gerdini, Ali Shafaat, Morteza Adib, Saeid Norouzian-Maleki

{"title":"Enhancing outdoor thermal comfort through diverse vegetation, materials, and water bodies: A case study of Fath-Abad Garden in Kerman, Iran","authors":"Arian Safavi-Gerdini, Ali Shafaat, Morteza Adib, Saeid Norouzian-Maleki","doi":"10.1016/j.scs.2025.106844","DOIUrl":"10.1016/j.scs.2025.106844","url":null,"abstract":"<div><div>This study evaluates the microclimatic conditions of Fath-Abad Garden in Kerman, Iran, through field measurements and questionnaire surveys conducted during both summer and winter seasons. Mobile meteorological instruments were used to record variables influencing outdoor thermal comfort (OTC). The collected data were simulated using ENVI-met software and subsequently validated. Thermal comfort was assessed using the Physiological Equivalent Temperature (PET) index. Fourteen scenarios were developed for each season, focusing on three key factors: the central axis structure, surface material albedo, and vegetation type. These scenarios aimed to analyze the influence of both hardscape and softscape modifications on OTC. Simulation results showed that PET decreased by 1.95°C in summer and increased by 1.32°C in winter. This study proposes a season-sensitive and integrative approach that analyzes the combined impacts of vegetation species, surface albedo, and water features, offering practical design strategies to enhance OTC in historic urban gardens in arid climates. The findings highlight a hybrid strategy inspired by the traditional Persian garden model, focusing on a balanced mix of deciduous and evergreen trees with medium-albedo materials to ensure thermal comfort in both hot and cold seasons. This methodological and practical contribution combines empirical surveys with simulations, providing transferable design strategies for enhancing OTC in urban gardens and open spaces of arid and semi-arid cities facing climate change pressures.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"133 ","pages":"Article 106844"},"PeriodicalIF":12.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145269234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Estimating and classifying urban carbon budget based on land use intensity with regulatory strategies developing 基于土地利用强度的城市碳预算估算与分类

IF 12 1区工程技术

Sustainable Cities and Society Pub Date : 2025-10-01 DOI: 10.1016/j.scs.2025.106854

Li-tzu Yu, Cing Chang, Tzu-Ping Lin

{"title":"Estimating and classifying urban carbon budget based on land use intensity with regulatory strategies developing","authors":"Li-tzu Yu, Cing Chang, Tzu-Ping Lin","doi":"10.1016/j.scs.2025.106854","DOIUrl":"10.1016/j.scs.2025.106854","url":null,"abstract":"<div><div>This study develops an integrated framework to evaluate urban carbon emissions based on land-use intensity. Using Taipei City as a case study, the research employs a 100 × 100 meter high-resolution grid to quantify operational carbon, embodied carbon, and carbon sequestration. Key spatial indicators including Floor Area Ratio (FAR), Building Coverage Ratio (BCR), and Green Coverage Ratio (GCR) are analyzed through regression to identify their influence on carbon emissions. Results indicate that FAR is the most influential variable, enabling the construction of simplified linear and polynomial models for emission estimation. The study further applies a group mean method and quantile binning to classify carbon intensity into 10 levels, which are aggregated into 5 urban land-use intensity types. Scenario simulations show that enhancing green coverage and installing rooftop photovoltaics could reduce approximately 50,000 and 1.5 million tCO₂e annually, respectively. The proposed methodology provides a scalable and operable urban carbon governance model, offering a scientific basis for implementing carbon-based development intensity control and emission quota allocation in future urban planning.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"133 ","pages":"Article 106854"},"PeriodicalIF":12.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145269235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Mapping cement stock and flow at the chinese city level 中国城市水泥存量和流量的测绘

IF 12 1区工程技术

Sustainable Cities and Society Pub Date : 2025-10-01 DOI: 10.1016/j.scs.2025.106872

Kairui You , Yan Li , Yanhui Yu , Lulu Zhang

引用次数: 0

A novel hybrid MAX-MIN Ant System and Artificial Bee Colony algorithm for generating representative bus driving cycles: A case study for Modena and comparison with Markov chain Monte Carlo 一种新型的混合MAX-MIN蚂蚁系统和人工蜂群算法生成具有代表性的公交车行驶周期：以摩德纳为例并与马尔可夫链蒙特卡罗的比较

IF 12 1区工程技术

Sustainable Cities and Society Pub Date : 2025-09-22 DOI: 10.1016/j.scs.2025.106848

Ahmet Fatih Kaya , Simone Pedrazzi

{"title":"A novel hybrid MAX-MIN Ant System and Artificial Bee Colony algorithm for generating representative bus driving cycles: A case study for Modena and comparison with Markov chain Monte Carlo","authors":"Ahmet Fatih Kaya , Simone Pedrazzi","doi":"10.1016/j.scs.2025.106848","DOIUrl":"10.1016/j.scs.2025.106848","url":null,"abstract":"<div><div>Standardized test cycles often misrepresent real-world vehicle performance by neglecting unique regional driving patterns. Localized cycles are created to solve this, but their effectiveness is dictated by the generation technique itself. This paper introduces a novel hybrid algorithm to improve upon these techniques, demonstrating its application by developing and validating a representative driving cycle for urban buses in Modena, Italy, from actual GPS data. Two distinct stochastic methodologies were implemented for this purpose: the established Markov Chain Monte Carlo (MCMC) technique and a novel hybrid metaheuristic, termed MMAS-ABC, which to the authors' knowledge, represents the first-ever integration of the MAX-MIN Ant System (MMAS) and the Artificial Bee Colony (ABC) algorithm. The representativeness of the generated cycles was rigorously evaluated against the original aggregated driving data using ten key performance parameters, speed-acceleration distributions, and total trip distance. Results indicate that while both methods produced cycles closely reflecting the original data, the hybrid MMAS-ABC approach demonstrated superior accuracy, achieving an overall average percentage difference of just 0.76 % across ten key performance parameters compared to 1.16 % for the MCMC method. The developed Modena Bus Driving Cycle (MBDC) offers a more precise basis for future local vehicle energy consumption and emission studies, and the proposed hybrid MMAS-ABC methodology presents an effective and adaptable framework for driving cycle generation in other urban contexts.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"133 ","pages":"Article 106848"},"PeriodicalIF":12.0,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145128371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Tracing spatial variations in ecological and economic benefits to support basic dimensions of wellbeing during urban expansion 追踪生态和经济效益的空间变化，以支持城市扩张期间的基本福利维度

IF 12 1区工程技术

Sustainable Cities and Society Pub Date : 2025-09-22 DOI: 10.1016/j.scs.2025.106846

Shi Xue , Zhou Fang , Carena van Riper , Yang Bai , Wei He , Ting Wang , Qin Zhou , Changgao Cheng , Zhongde Huang

{"title":"Tracing spatial variations in ecological and economic benefits to support basic dimensions of wellbeing during urban expansion","authors":"Shi Xue , Zhou Fang , Carena van Riper , Yang Bai , Wei He , Ting Wang , Qin Zhou , Changgao Cheng , Zhongde Huang","doi":"10.1016/j.scs.2025.106846","DOIUrl":"10.1016/j.scs.2025.106846","url":null,"abstract":"<div><div>Cities exist to support the multidimensional wellbeing of their residents. However, urban expansion has been accompanied by a rapid increase in economic benefits (EBs) and a decline in ecosystem services (ESs), both of which are essential for achieving multidimensional human wellbeing. Most existing studies have focused on regional-level changes in EBs and ESs due to the lack of reliable methods for spatially mapping the distribution of EBs. However, human activities and wellbeing are highly localized, shaped by fine-level environmental features and land use patterns. We propose a framework to trace spatial variations in EBs and ESs across analytical levels during urban development, aiming to identify win-win opportunities and support informed spatial planning. In Ordos, China, we found that EBs and ESs generally increased at the regional level, except for water purification. However, at the district level, a pronounced spatial imbalance emerged. In the eastern districts, urban expansion coincided with improvements in all EBs but reduced carbon storage and water purification. In contrast, the western districts showed ecological recovery despite substantial declines in economic supply capacity from 2010 to 2020. Grid-level analysis further revealed specific locations of trade-offs and synergies. Trade-offs were widely distributed across Ordos, particularly concentrated in parts of the east, while synergies were limited to small, clustered areas in the west. We suggest that future urban green infrastructure restoration and multi-functional community construction be prioritized in Ordos’ eastern districts, whereas natural vegetation replantation should take place in western ecologically fragile districts. Overall, our framework has the potential to guide sustainable urban development and reform within China and beyond.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"133 ","pages":"Article 106846"},"PeriodicalIF":12.0,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A review of circular industrialised construction for sustainable and affordable housing: Towards a process-driven framework 可持续和经济适用房的循环工业化建筑回顾：走向过程驱动的框架

IF 12 1区工程技术

Sustainable Cities and Society Pub Date : 2025-09-20 DOI: 10.1016/j.scs.2025.106837

Annette Davis , Núria Martí Audí , Daniel M. Hall

{"title":"A review of circular industrialised construction for sustainable and affordable housing: Towards a process-driven framework","authors":"Annette Davis , Núria Martí Audí , Daniel M. Hall","doi":"10.1016/j.scs.2025.106837","DOIUrl":"10.1016/j.scs.2025.106837","url":null,"abstract":"<div><div>Circular Industrialised Housing, underpinned by the systematic design of building components for future disassembly and reuse, offers valuable opportunities to deliver sustainable and affordable homes at scale. However, research interlinking these approaches remains thin, and critical socio-economic dimensions are often overlooked. This paper addresses these gaps through a systematic review of 65 publications spanning Europe, Asia, the Americas, Africa, and Oceania. Six key factors inductively emerged: cultural, governance, financial, site and logistics, construction system, and building information. Building on these findings, a four-step circular process framework is proposed—(re)planning, (re)designing, (re)manufacturing, and (dis)assembly—capturing the full housing lifecycle. Fifteen themes and 36 sub-themes were identified. Mapping barriers and enablers reveals a disproportionate emphasis on the (re)designing process (55 %), with significantly less attention to (re)manufacturing (20 %), (re)planning (13 %), and (dis)assembly (12 %). The strongest relationship identified was between the construction system and (re)designing, with sub-theme ‘theoretical design’ dominating the literature. Most literature gaps pertained to governance, particularly in relation to (dis)assembly. Few studies investigated social and affordable housing. Only six studies included interviews or surveys with practitioners. Overall, this review contributes a holistic perspective on Circular Industrialised Housing, offering a structured, process-driven lens to inform interdisciplinary research, policy design, and industry adoption. By illuminating how and where key factors intersect across the housing lifecycle, the framework serves as a roadmap for systematically advancing the field towards resource-efficient, regenerative and equitable housing outcomes. Future research can apply the framework to specific case studies to develop and refine its practical relevance.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"133 ","pages":"Article 106837"},"PeriodicalIF":12.0,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A machine learning framework for urban heat mitigation in informal settlements: Climate-resilient planning in Kabul, Afghanistan 非正式住区城市降温的机器学习框架：阿富汗喀布尔的气候适应型规划

IF 12 1区工程技术

Sustainable Cities and Society Pub Date : 2025-09-20 DOI: 10.1016/j.scs.2025.106845

Emal Ahmad Hussainzad, Zhonghua Gou

{"title":"A machine learning framework for urban heat mitigation in informal settlements: Climate-resilient planning in Kabul, Afghanistan","authors":"Emal Ahmad Hussainzad, Zhonghua Gou","doi":"10.1016/j.scs.2025.106845","DOIUrl":"10.1016/j.scs.2025.106845","url":null,"abstract":"<div><div>Rising temperatures disproportionately impact vulnerable communities in informal settlements of arid Global South cities, yet data-driven frameworks for heat-resilient planning remain limited. This study pioneers an integrated machine learning (ML) framework—combining multivariate clustering, ensemble models (Random Forest, XGBoost, Gradient Boosting), and SHAP explainability—to analyze Land Surface Temperature (LST) dynamics in Kabul, Afghanistan. Results reveal informal settlements endure significantly higher LST (up to +5°C) than formal areas, driven by dense low-rise structures, minimal green space, and adjacent barren lands. While Gradient Boosting achieved the highest predictive accuracy (R² ≈ 0.45), the core contribution lies in translating ML insights into actionable planning strategies derived from urban morphological indicators (UMIs): (1) an optimal vegetation threshold (NDVI ≈0.15), (2) building heights around 3m to balance shade and ventilation, and (3) vertical densification for population management. Seasonal analysis highlights adaptive planning needs, with UMIs exerting stronger influences in summer but remaining relevant year-round. This research provides a replicable methodology for UMI-LST analysis in informal settlements, offering a pathway for equitable, climate-resilient urban development. We urge policymakers to embed targeted greening, managed densification, and land-use optimization into Kabul’s urban agenda.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"133 ","pages":"Article 106845"},"PeriodicalIF":12.0,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0