Sustainable Cities and Society最新文献_第2页

Mapping geosystem services potential for urban climate resilience: A case study from Malmö, Sweden 测绘地球系统服务对城市气候适应能力的潜力：来自瑞典Malmö的案例研究

IF 12 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2026-03-15 Epub Date: 2026-02-09 DOI: 10.1016/j.scs.2026.107221

Emrik Lundin-Frisk , Paula Lindgren , Olof Taromi Sandström , Emanuel Toft , Lorena Melgaço , Fredrik Mossmark , Tore Söderqvist , Yevheniya Volchko , Maria de Lourdes Melo Zurita , Jenny Norrman

Urban climate resilience planning often overlooks the subsurface, despite its potential to mitigate flooding, heat stress, and drought. To demonstrate these potentials, we developed thematic Geosystem Service (GS) maps for Malmö, Sweden, to support the integration of the subsurface into climate adaptation strategies. This study identifies GS relevant to the local context, proposes indicators for mapping these services, suggests a methodology for developing GS potential maps and tests the usability of these maps with municipal planners. Six GS related to the subsurface were identified: 1) regulation of coastal erosion, 2) extraction of heat and cold from the subsurface, 3) infiltration and retention of stormwater, 4) provision of subsurface space, 5) provision of groundwater, and 6) provision of construction materials. The findings indicate that GS potential mapping can reveal opportunities to utilise subsurface functions important for climate adaptation, but also show that this capacity is highly uneven across space and often constrained by land use, contamination risks, and technical or legal limitations. Usability testing with planners suggests that the developed GS potential maps may serve more effectively as communicative instruments than as direct planning tools. By illustrating how subsurface services can be systematically incorporated into planning, this research provides a foundation for enhancing the operability of GS in future climate adaptation practices.

城市气候韧性规划往往忽略了地下，尽管它有可能减轻洪水、热应激和干旱。为了证明这些潜力，我们为瑞典Malmö开发了专题地质系统服务（GS）地图，以支持将地下与气候适应战略相结合。这项研究确定了与当地情况相关的地理信息系统，提出了绘制这些服务的指标，提出了开发地理信息系统潜在地图的方法，并与市政规划者一起测试这些地图的可用性。确定了与地下有关的6个GS: 1)海岸侵蚀调节，2)地下冷热提取，3)雨水的渗透和滞留，4)地下空间供应，5)地下水供应，6)建筑材料供应。研究结果表明，GS潜在测绘可以揭示利用对气候适应很重要的地下功能的机会，但也表明这种能力在空间上是高度不均匀的，并且经常受到土地利用、污染风险以及技术或法律限制的限制。与规划者一起进行的可用性测试表明，开发的GS潜在地图可能更有效地作为沟通工具，而不是直接的规划工具。通过说明如何将地下服务系统地纳入规划，本研究为提高GS在未来气候适应实践中的可操作性提供了基础。

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引用次数: 0

Integrating machine learning and interval fuzzy AHP for assessing metro station resilience to urban flooding 基于机器学习和区间模糊层次分析法的地铁车站抗洪能力评价

IF 12 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2026-03-15 Epub Date: 2026-02-04 DOI: 10.1016/j.scs.2026.107213

Wen He , Yue Pan , Shuo Zhang , Guanlin Ye , Jin-Jian Chen

Under the dual pressures of climate change and urbanization, increasing extreme rainfall events pose significant challenges to the operation and management of urban metro systems. This study develops a multi-source, phased resilience indicator system to describe key resilient characteristics of the metro network. A novel quantitative framework called PU-IFAHP-KMEANS is developed by integrating Positive-Unlabeled (PU) learning, Interval Fuzzy Analytical Hierarchy Process (IFAHP), and K-means clustering, aiming to comprehensively assess metro station resilience under extreme rainfall conditions. The proposed PU-IFAHP-KMEANS is applied to the Shanghai metro network, evaluating resilience across three dimensions: pre-disaster flood risk prediction, vulnerability during disasters, and post-disaster recovery. By combining these three dimensions, the resilience levels of metro stations to flood disasters can be precisely quantified and visualized through Geographic Information System (GIS). Several key findings are revealed: (i) High-resilience metro stations are typically located in the suburbs of Shanghai, while low-resilience stations are mostly concentrated in the downtown areas; and (ii) Key factors such as Point of Interest (POI) density, maximum hourly rainfall, and betweenness centrality significantly impact resilience levels. Moreover, comparative experiments demonstrate that PU-IFAHP-KMEANS reduces subjectivity and uncertainty from expert input while demonstrating strong adaptability to varying rainfall scenarios. Practically, PU-IFAHP-KMEANS offers practical utility in identifying at-risk stations and enhancing targeted flood mitigation and emergency response strategies, thereby advancing the resilience of metro systems in the face of intensifying climatic extremes.

在气候变化和城市化的双重压力下，极端降雨事件的增加对城市地铁系统的运行和管理提出了重大挑战。本研究开发了一个多源、分阶段的弹性指标体系来描述地铁网络的关键弹性特性。结合正未标记（PU）学习、区间模糊层次分析法（IFAHP）和k均值聚类，提出了一种新的定量框架PU-IFAHP- kmeans，旨在综合评估极端降雨条件下地铁车站的恢复能力。提出的PU-IFAHP-KMEANS应用于上海地铁网络，从三个维度评估弹性：灾前洪水风险预测、灾中脆弱性和灾后恢复。通过这三个维度的结合，可以通过地理信息系统（GIS）精确量化和可视化地铁车站对洪水灾害的恢复能力水平。结果表明：(1)上海地铁高弹性站点主要分布在城郊，低弹性站点主要集中在市区；（ii）兴趣点（POI）密度、最大小时降雨量和中间度中心性等关键因素显著影响恢复能力水平。此外，对比实验表明，PU-IFAHP-KMEANS减少了专家输入的主观性和不确定性，同时对不同的降雨情景具有较强的适应性。实际上，PU-IFAHP-KMEANS在确定风险站点和加强有针对性的洪水缓解和应急响应战略方面提供了实际效用，从而提高了地铁系统面对日益加剧的极端气候的复原力。

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引用次数: 0

Spatiotemporal evolution and influencing factors of urban flood resilience in the Pearl River Delta urban agglomeration 珠江三角洲城市群城市抗洪能力时空演变及影响因素

IF 12 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2026-03-15 Epub Date: 2026-02-06 DOI: 10.1016/j.scs.2026.107218

Huifang Sun , Rujie Chen , Wenxin Mao , Dang Luo

Rapid urbanization and climate change have exacerbated urban flooding, thereby positioning urban flood resilience as a critical component of sustainable social development. This study develops an evaluation indicator system for urban flood resilience grounded in the dimensions of resistance, emergency response, recovery, and adaptation. Using the Pearl River Delta urban agglomeration as a case study, this paper examines the spatiotemporal evolution, influencing factors, and dynamic transition characteristics of flood resilience from 2003 to 2023. The analysis employs a combined methodological framework incorporating the standard deviation ellipse, geographic detector, geographically and temporally weighted regression, and spatial Markov chain models. The results indicate that: (1) The flood resilience in Pearl River Delta urban agglomeration exhibits a distinct core-periphery spatial pattern. While the overall level of resilience increased steadily between 2003 and 2023, inter-city disparities widened significantly. (2) The interactions among economic, infrastructural, and ecological factors have progressively intensified, with influencing factors demonstrating nonlinear synergistic effects. (3) The urban flood resilience centroid has gradually shifted toward cities with advanced infrastructure, and the spatial evolution exhibits phased characteristics defined by “core-driven growth, spatial expansion, and directional adjustment.” (4) The per capita investment in urban public facilities generates positive spillover effects that enhance the resilience of neighboring cities; conversely, the proportion of the high-risk population acts as a negative constraint, exacerbating regional vulnerability. (5) The evolution of urban flood resilience exhibits path dependence and a bottleneck effect of high-level transitions. Optimizing the resilience structure is most effectively driven by an integrated engineering-ecological pathway. This study provides a theoretical basis and practical guidance for flood risk governance and the enhancement of spatial resilience in urban agglomerations.

快速城市化和气候变化加剧了城市洪水，因此将城市防洪能力定位为可持续社会发展的关键组成部分。本文从抗洪、应急、恢复和适应四个维度构建了城市抗洪能力评价指标体系。以珠江三角洲城市群为例，分析了2003 - 2023年珠江三角洲城市群洪水恢复力时空演变特征、影响因素及动态过渡特征。该分析采用了一个结合标准差椭圆、地理检测器、地理和时间加权回归以及空间马尔可夫链模型的组合方法框架。结果表明：(1)珠三角城市群洪水恢复能力呈现明显的核心-边缘空间格局。2003年至2023年期间，虽然整体弹性水平稳步上升，但城市间差异显著扩大。②经济、基础设施和生态要素之间的相互作用逐渐加剧，影响因素呈现非线性协同效应。③城市抗洪能力重心逐渐向基础设施发达的城市转移，空间演化呈现“核心驱动-空间扩展-方向调整”的阶段性特征。(4)城市公共设施人均投资产生正向溢出效应，增强了周边城市的韧性；相反，高风险人群的比例是一种负面约束，加剧了区域脆弱性。(5)城市洪涝恢复力演化具有路径依赖和高层过渡的瓶颈效应。工程-生态一体化路径是优化弹性结构最有效的途径。该研究为城市群洪水风险治理和空间弹性增强提供了理论依据和实践指导。

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引用次数: 0

Beat the heat: Hotspots for nature-based solutions in Vienna and Budapest 降温：维也纳和布达佩斯的自然解决方案热点

IF 12 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2026-03-15 Epub Date: 2026-02-08 DOI: 10.1016/j.scs.2026.107219

Alice Wanner , Bakul Budhiraja , Jennifer McKinley , Meike Jungnickel

As populations in cities continue to grow, residents face increasing climate change related impacts. These impacts vary across neighbourhoods and districts in the city, often depending on the built environment and access to green spaces. Historic cities such as Vienna and Budapest illustrate the challenges which cultural heritage and development of the late 19th century pose for heat reduction in city centres. Rising frequency of heat waves in central Europe, the resultant urban heat island effect and tropical nights negatively affect health and well-being. Nature-based solutions are possible measures to tackle these issues. Based on the cities of Vienna and Budapest, this study combines urban heat modelling with results from a discrete choice experiment to identify where residents in each city are more affected by heat, the most vulnerable communities and how residents in each city perceive their situation. The results indicate that heat negatively affects the health and well-being of all, but respondents from Budapest are more pronounced in their experiences and perceptions, especially those living in urban districts and city centres. Residents underestimate experienced heat compared to the no of heat days recorded through meteorological stations. With these results, it becomes clear that local solutions are needed which reflect residents’ needs to benefit people and city, along with reducing urban heat island effects. For urban planners, the results translate into setting clear planning priorities and goals specific to their residents’ needs. Nature-based solutions targeting heat reduction should be placed in neighbourhood types which demonstrate high heat perception based on social analysis and heat modelling.

随着城市人口的持续增长，居民面临着越来越多的与气候变化相关的影响。这些影响在城市的不同社区和地区有所不同，通常取决于建筑环境和绿色空间的使用。维也纳和布达佩斯等历史悠久的城市说明了19世纪后期的文化遗产和发展对城市中心降温带来的挑战。中欧热浪频率上升，由此产生的城市热岛效应和热带夜对健康和福祉产生负面影响。基于自然的解决方案是解决这些问题的可能措施。本研究以维也纳和布达佩斯为基础，将城市热量模型与离散选择实验的结果相结合，以确定每个城市中哪些地方的居民受热量影响更大，哪些社区最脆弱，以及每个城市的居民如何看待自己的处境。结果表明，高温对所有人的健康和福祉都有负面影响，但布达佩斯的受访者在他们的经历和看法上更为明显，尤其是那些生活在城区和城市中心的人。与气象站记录的高温天数相比，居民低估了他们的高温经历。有了这些结果，我们就清楚地认识到，当地的解决方案需要反映居民的需求，以造福人民和城市，同时减少城市热岛效应。对于城市规划者来说，结果转化为明确的规划优先事项和目标，具体到居民的需求。以减少热量为目标的基于自然的解决方案应该放在基于社会分析和热量建模的高热感知的邻里类型中。

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引用次数: 0

Institutionalizing urban agriculture in urban sustainability: A nexus framework and indicator compatibility assessment 城市可持续发展中的城市农业制度化：一个联系框架和指标兼容性评价

IF 12 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2026-03-15 Epub Date: 2026-01-08 DOI: 10.1016/j.scs.2026.107137

Jie Zheng , Qing Gong , Xiuxiu Gao , Yan Jiao , Wei Zhang , Yukun Zhang , Hengyu Li , Ziyu Jia

Urban agriculture (UA) delivers multifunctional benefits, yet its contributions remain marginally incorporated into the planning and evaluation systems that guide sustainable urban development (SUD). This disconnect persists because contribution aims, measurement practices, and contextual conditions are often considered separately, leaving much of UA’s value only partially visible to governance systems and therefore inconsistently supported. To address this gap, we develop an integrated analytical architecture that links indicator translation and contextualized outcome interpretation.

Drawing on a systematic review of 139 studies and expert-validated mapping, we evaluate 40 UA indicators against 234 Sustainable Development Goal (SDG) indicators using unified diagnostic criteria. Nearly 80 % of contributions fall outside the category of immediate alignment, requiring either methodological adaptation or expansion of current monitoring frameworks. The UA–SUD Nexus framework then explains why similar interventions yield divergent outcomes across contexts by showing how goals, measurement strategies, and enabling conditions co-evolve through adaptive feedback.

These insights inform context-aligned implementation conditions rather than universal intervention sequences. For example, where land tenure security is weak, governance stabilization must precede infrastructure investment to avoid misaligned or short-lived outcomes. By joining compatibility assessment with a mechanism-based explanatory framework, this approach provides a coherent basis for institutionalizing UA within urban sustainability planning, enabling its socio-ecological value to be more systematically recognized, measured, and governed.

城市农业（UA）具有多种功能效益，但其在指导可持续城市发展（SUD）的规划和评估系统中的贡献仍然很小。这种脱节持续存在，因为贡献目标、度量实践和上下文条件通常是分开考虑的，使得许多UA的价值仅部分可见于治理系统，因此得不到一致的支持。为了解决这一差距，我们开发了一个将指标翻译和情境化结果解释联系起来的综合分析架构。根据对139项研究的系统回顾和专家验证的绘图，我们使用统一的诊断标准，根据234项可持续发展目标（SDG）指标评估了40项UA指标。近80%的捐款不属于立即协调的范畴，需要调整方法或扩大当前的监测框架。UA-SUD Nexus框架通过展示目标、测量策略和使能条件如何通过自适应反馈共同进化，解释了为什么类似的干预措施会在不同背景下产生不同的结果。这些见解提供了与上下文一致的实施条件，而不是通用的干预序列。例如，在土地所有权保障薄弱的地方，必须先稳定治理，再进行基础设施投资，以避免产生不一致或短暂的结果。通过将兼容性评估与基于机制的解释框架相结合，该方法为在城市可持续性规划中将UA制度化提供了连贯的基础，使其社会生态价值能够得到更系统的认识、衡量和管理。

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引用次数: 0

Microclimatic impacts of building projects on the local neighborhood: criteria for well-founded urban planning 建筑项目对当地社区的小气候影响：有充分根据的城市规划标准

IF 12 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2026-03-15 Epub Date: 2026-02-05 DOI: 10.1016/j.scs.2026.107215

Martin Schneider, Tanja Tötzer, Marianne Bügelmayer-Blaschek

City administration is struggling with steering urban development into a climate resilient direction and needs supportive guidelines for informed decision-making. The results of this research present a planning criteria catalogue to identify microclimate-sensitive development projects to the surrounding area. It provides selected parameters and thresholds characterizing construction projects to request spatially extended microclimatic evaluations based on changes of expected spatial extension and intensity of 2 m air temperature in the surrounding area. To quantify the impact of project characteristics on this evaluation metric in the neighborhood, 50 experiments were conducted for inner-city and periphery domains using the urban climate model PALM with varying static input parameters including area size, building height, and Local Climate Zone (LCZ) classifications representing different building densities and soil sealing patterns. The resulting impacts are evaluated in a distance of 50-100 meters from construction sites. Development projects in an LCZ compact style, showed air temperature increases of up to 1.5°C during evening hours in an inner-city domain. LCZ open configurations caused slightly higher temperatures during the night and morning hours of up to 0.7°C. For a periphery domain, LCZ open did not show any notable impact on the surroundings, while LCZ large low-rise caused persistent temperature increases peaking at 1.5°C in evening hours. Based on these findings, a practical catalogue of criteria was developed to guide authorities in determining when spatially extended microclimate analyses (including the potentially affected neighborhood) should be required or recommended. The study suggests extended assessments when air temperature changes exceed 1°C in surrounding areas during any time during the day, which is particularly the case for compact and large low-rise built environments. This quantitative framework guides authorities to decide in which cases a climate simulation is recommended or required for the assessment of projects with potential significant microclimatic impacts on neighborhoods.

城市管理部门正在努力引导城市发展向气候适应型方向发展，需要支持性的指导方针，以便做出明智的决策。这项研究的结果提出了一个规划标准目录，以确定对周边地区的微气候敏感的开发项目。它提供了表征建设项目特征的选定参数和阈值，以期望空间扩展和周边地区2 m气温强度的变化为基础，要求进行空间扩展的小气候评价。为了量化项目特征对邻里评价指标的影响，使用城市气候模型PALM在市中心和外围区域进行了50次实验，这些实验具有不同的静态输入参数，包括面积大小、建筑高度和代表不同建筑密度和土壤密封模式的当地气候区（LCZ）分类。由此产生的影响在距离建筑工地50-100米的范围内进行评估。LCZ紧凑型开发项目显示，市中心夜间气温升高高达1.5°C。LCZ的开放式配置导致夜间和早晨的温度略高，高达0.7°C。在外围区域，LCZ的开放对周边环境影响不显著，而LCZ的大低层导致夜间温度持续升高，峰值为1.5°C。根据这些发现，制定了一份实用的标准目录，以指导当局确定何时需要或建议进行空间扩展的小气候分析（包括可能受影响的社区）。该研究建议，在一天中的任何时间，当周围地区的气温变化超过1°C时，扩展评估，特别是对于紧凑和大型低层建筑环境。该定量框架指导当局决定在哪些情况下建议或需要进行气候模拟，以评估对社区有潜在重大小气候影响的项目。

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引用次数: 0

Spatiotemporal dynamics and multidimensional drivers of urban diurnal temperature range: Evidence from integrated learning at the national scale in China 城市日气温变化的时空动态和多维驱动因素：来自中国国家尺度的综合学习证据

IF 12 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2026-03-15 Epub Date: 2026-02-02 DOI: 10.1016/j.scs.2026.107202

Tao Wu , Shujie Yang , Jingkai Zhao , Ruhang Wei , Siying Li , Zeyin Chen , Renlu Qiao , Zhiqiang Wu , Shiqi Zhou

Urbanization and global warming are profoundly altering the diurnal temperature range (DTR), a key indicator of climate change with direct implications for public health and urban resilience. Yet, systematic evidence disentangling DTR dynamics across climatic zones at the national scale remains scarce. Using 1 km resolution MODIS LST data for China (2010–2020), this study integrates spatiotemporal trend analysis with explainable machine learning to characterize national DTR patterns and identify their heterogeneous drivers. The results show that: (1) daytime surface warming (+0.013 °C yr⁻¹) has outpaced nighttime warming (+0.008 °C yr⁻¹), leading to an overall slight increase in DTR, with the trend most pronounced in the warm temperate zone; (2) natural systems exert the strongest influence (42.1 %), with proximity to water bodies acting as the most critical regulator—reducing DTR by 2–3 °C within 5 km—while vegetation effects are strongly climate-dependent; (3) urban physical morphology exerts dual impacts, as high built-up density generally amplifies DTR, whereas taller buildings mitigate it by enhancing ventilation; and (4) socioeconomic factors overall moderate DTR, with population density showing the most consistent effect, while nighttime light intensity anomalously amplifies DTR in humid regions. By systematically revealing the climatic heterogeneity of DTR drivers, this study underscores the pivotal role of water bodies and urban form in regulating urban heat. The findings provide a scientific basis for context-specific nature-based solutions and resilience-oriented planning strategies to mitigate thermal risks under accelerating climate change and urbanization.

城市化和全球变暖正在深刻改变昼夜温度范围（DTR），这是气候变化的一个关键指标，对公共卫生和城市复原力有直接影响。然而，在全国范围内解开跨气候带DTR动态的系统证据仍然很少。利用2010-2020年中国1 km分辨率MODIS LST数据，将时空趋势分析与可解释性机器学习相结合，对全国DTR模式进行表征，并识别其异质性驱动因素。结果表明：(1)白天地表变暖（+0.013°C /年毒血症¹）超过夜间变暖（+0.008°C /年毒血症¹），导致DTR总体上略有增加，在暖温带地区趋势最为明显；(2)自然系统的影响最大（42.1%），靠近水体是最关键的调节因子——在5公里范围内将DTR降低2 - 3°C，而植被效应则强烈依赖于气候；(3)城市物理形态具有双重影响，高建筑密度通常会放大DTR，而高层建筑则通过加强通风来缓解DTR；(4)社会经济因素对DTR总体有调节作用，其中人口密度对DTR的影响最为一致，夜间光照强度对DTR的影响在潮湿地区异常放大。通过系统揭示DTR驱动因素的气候异质性，本研究强调了水体和城市形态在城市热调节中的关键作用。研究结果为在气候变化和城市化加速的背景下，针对特定环境的基于自然的解决方案和面向弹性的规划策略提供了科学依据，以减轻热风险。

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引用次数: 0

Quantifying the cooling effects of multi-scale urban blue-green spaces on surrounding local climate zones in hot and humid climatic areas 湿热气候区多尺度城市蓝绿空间对周边局地气候带降温效应的量化研究

IF 12 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2026-03-09 DOI: 10.1016/j.scs.2026.107292

Lin Liu , Yilin Wang , Xin Feng , Mengxiao Yu , Hua Yuan , Jian Hang

Urban blue-green spaces (UBGS) are widely known for mitigating urban overheating through their evapotranspiration and shading effects. This study integrates multi-source data, including remote sensing imagery and land cover, to identify 1,294 UBGS blocks of varying scales in Guangzhou, along with their characteristic parameters. Field measurements, combined with the Local Climate Zone (LCZ) framework, derived cooling effect parameters for 6,230 blocks. Results indicate that northern vegetation-dominated areas exhibit average NDVI values of 0.6∼0.8, whilst the highly urbanised central regions show higher ET values ranging from 0.6 to 1.0. The LCZ-based air temperature inversion models demonstrate considerable accuracy, and air temperature distribution maps reveal that UBGS present an average of 4.2°C lower than built-up areas in August. Correlation analysis of cooling effect parameters and LCZ types indicates that LCZ 5 exhibits a cooling intensity of 3∼7°C, whilst LCZ G demonstrates a cooling distance exceeding 600 metres. Through random forest regression, SHAP interpretation, and NSGA-II multi-objective optimisation, the cooling effects of UBGS are systematically quantified. Key influencing parameters are clarified: WAR and NDVI exert significant positive effects on CI and CD, while HR exhibits negative effects, and their optimal configuration ranges are obtained (WAR 0.04∼0.82, GAR 0.05∼0.83, FVC 0.02∼0.37, HR 0.06∼0.12, PA 246∼443, S_UBGS 11.2∼132hm²). The developed multi-scale UBGS-LCZ optimization framework of this study contributes to revealing parameterized cooling mechanism of UBGS on surrounding LCZs and helps guide UBGS optimization design.

城市蓝绿空间（UBGS）因其蒸散和遮阳作用而缓解城市过热而广为人知。结合遥感影像和土地覆盖等多源数据，对广州市1294个不同尺度的UBGS地块进行了识别，并对其特征参数进行了分析。结合当地气候带（LCZ）框架，现场测量得出了6230个区块的冷却效果参数。结果表明，北部植被主导地区的平均NDVI值为0.6 ~ 0.8，而高度城市化的中部地区的ET值较高，在0.6 ~ 1.0之间。基于lcz的气温反演模型显示出相当高的准确性，气温分布图显示，8月份UBGS比建成区平均低4.2℃。冷却效果参数与LCZ类型的相关分析表明，LCZ 5的冷却强度为3 ~ 7°C，而LCZ G的冷却距离超过600米。通过随机森林回归、SHAP解译和NSGA-II多目标优化，系统量化了UBGS的降温效果。明确了关键影响参数：WAR和NDVI对CI和CD有显著的正向影响，而HR有负向影响，并得到了它们的最佳配置范围（WAR 0.04 ~ 0.82, GAR 0.05 ~ 0.83, FVC 0.02 ~ 0.37, HR 0.06 ~ 0.12, PA 246 ~ 443, SUBGS 11.2 ~ 132hm²）。本研究建立的UBGS- lcz多尺度优化框架有助于揭示UBGS对周边lcz的参数化冷却机制，指导UBGS优化设计。

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引用次数: 0

Diagnosing urban heat vulnerability through multiscale spatial modelling: Evidence from Istanbul for climate-resilient cities 通过多尺度空间模型诊断城市热脆弱性：来自伊斯坦布尔的气候适应型城市的证据

IF 12 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2026-03-01 Epub Date: 2026-01-29 DOI: 10.1016/j.scs.2026.107190

Yusuf Eminoğlu , Hüseyin Murat Çelik

Urban heat vulnerability poses significant and escalating risks, especially in rapidly urbanizing metropolitan areas such as Istanbul. This study introduces an advanced, spatially explicit framework—the Surface Urban Heat Island Vulnerability Index (SUHI VI)—to accurately quantify and map neighborhood-level heat vulnerability across the Istanbul metropolitan region. The SUHI-VI integrates thirteen carefully selected variables spanning exposure (e.g., land surface temperature, impervious surface ratio), sensitivity (e.g., poverty rate, elderly and young population ratios, illiteracy rate), and adaptive capacity (e.g., tree canopy height, vegetation indices, access to green spaces, healthcare facilities, and income levels). The methodological innovation lies in employing a supervised Principal Component Analysis (PCA), which aligns component weighting with empirically observed urban heat anomalies, significantly enhancing both interpretability and practical applicability. Spatial modeling techniques including Multiscale Geographically Weighted Regression (MGWR) and Local Indicators of Spatial Association (LISA) revealed pronounced spatial heterogeneity in vulnerability determinants, highlighting central districts like Esenyurt, Bağcılar, and Gaziosmanpaşa as critical hotspots characterized by compounded demographic pressures and infrastructural deficits. Conversely, peripheral districts such as Şile and Beykoz displayed considerably lower vulnerability due to favorable ecological conditions and higher adaptive capacities. A spatially explicit policy matrix was subsequently developed, combining vulnerability levels and diagnostic model uncertainty to prioritize targeted adaptation strategies effectively. This replicable and scalable framework offers a robust decision-support tool for urban resilience planning, providing actionable insights for equitable and climate adaptive urban governance, applicable to other complex metropolitan regions.

城市热脆弱性带来了巨大且不断升级的风险，特别是在伊斯坦布尔等快速城市化的大都市地区。本研究引入了一个先进的空间明确框架——地表城市热岛脆弱性指数（SUHI VI），以准确量化和绘制整个伊斯坦布尔大都市地区的邻里热脆弱性。SUHI-VI整合了13个精心挑选的变量，包括暴露（例如，地表温度、不透水地表比率）、敏感性（例如，贫困率、老年和年轻人口比例、文盲率）和适应能力（例如，树冠高度、植被指数、获得绿地的途径、医疗设施和收入水平）。方法上的创新在于采用了监督主成分分析（PCA），该方法将分量权重与经验观测到的城市热异常相结合，显著提高了可解释性和实用性。包括多尺度地理加权回归（MGWR）和空间关联局部指标（LISA）在内的空间建模技术揭示了脆弱性决定因素的显著空间异质性，突出了Esenyurt、Bağcılar和gaziosmanpa等中心地区是复杂人口压力和基础设施不足的关键热点地区。相反，Şile和Beykoz等周边地区由于生态条件优越，适应能力较强，脆弱性较低。随后开发了一个空间明确的政策矩阵，结合脆弱性水平和诊断模型的不确定性，有效地优先考虑有针对性的适应策略。这一可复制和可扩展的框架为城市韧性规划提供了强有力的决策支持工具，为公平和气候适应性城市治理提供了可操作的见解，适用于其他复杂的大都市地区。

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引用次数: 0

Corrigendum to “Urban ecological risk and social vulnerability assessment for equitable climate resilience planning in Siliguri, India” [Sustainable Cities and Society, 136 (2026), 107113] “印度西里古里公平气候韧性规划的城市生态风险和社会脆弱性评估”的勘误表[可持续城市与社会，136 (2026),107113]

IF 12 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2026-03-01 Epub Date: 2026-02-04 DOI: 10.1016/j.scs.2026.107176

Alok Das , Sayanti Poddar , Javed Mallick , Hoang Thi Hang , Swapan Talukdar

引用次数: 0