Sustainable Cities and Society最新文献_第8页

Unsupervised clustering approach to residential typo-morphologies across multiple cities for urban heat vulnerability assessment 城市热脆弱性评价中多城市住宅类型形态的无监督聚类方法

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

Sustainable Cities and Society

Pub Date : 2026-01-01 DOI: 10.1016/j.scs.2025.107107

Maha Habib , Doruntina Zendeli , Marjolein van Esch , Wim J. Timmermans , Maarten van Ham

Residential environments are central to addressing urban heat stress for vulnerable populations and are prime target areas for implementing climate adaptation strategies. The reliance on urban heat island (UHI) intensity mapping alone has been argued to provide limited guidance for adaptation efforts, whereas linking heat patterns to the built environment characteristics through frameworks such as Local Climate Zones (LCZ) provides actionable insights for developing neighborhood cooling strategies. However, the widely used LCZ maps have a few limitations, such as misrepresenting variation within types because they cannot account for sub-classes beyond the standardized framework. This paper presents an unsupervised clustering approach to identify residential typo-morphologies across 99 Dutch cities, enhancing their relevance for urban heat vulnerability assessments. The analysis reveals that five morphological and canopy parameters (FSI, GSI, OSR, H_avg, and FVC) selected from 17 parameters are sufficient to identify nine distinct residential typo-morphologies relatable to LCZs within 100 m × 100 m grid cells. The evaluations demonstrate that our approach detects underrepresented LCZ types and reveals new sub-classes absent from standard LCZ classifications. Key findings include detection of high-density areas (LCZ 4₂) reflecting recent urban densification with one of the highest UHI_max next to LCZ 2 (4.2–4.9 K), and vegetation-differentiated variants within sparse and low-rise categories LCZ 9_D and LCZ 6_D, distinguished by distinctive UHI_max (0.5–0.7 K) higher compared to their reference base types. Notably, tree coverage remains low across low-rise and compact typo-morphologies, revealing substantial opportunities for greening interventions. This data-driven refinement preserves LCZ's global comparability while considering local specificity, providing improved frameworks to inform targeted climate adaptation strategies in residential environments.

居住环境是解决弱势群体城市热应激问题的核心，也是实施气候适应战略的主要目标领域。有人认为，仅依赖城市热岛（UHI）强度地图对适应工作提供的指导有限，而通过局部气候带（LCZ）等框架将热模式与建筑环境特征联系起来，为制定社区降温策略提供了可行的见解。然而，广泛使用的LCZ映射有一些限制，比如类型中的变化会被错误地表示，因为它们不能解释标准化框架之外的子类。本文提出了一种无监督聚类方法来识别99个荷兰城市的住宅类型形态，增强其与城市热脆弱性评估的相关性。分析表明，从17个参数中选择的5个形态学和冠层参数（FSI、GSI、OSR、Havg和FVC）足以识别出100 m × 100 m网格单元内与lcz相关的9种不同的居住类型形态。评估表明，我们的方法检测到代表性不足的LCZ类型，并揭示了标准LCZ分类中缺失的新子类。主要发现包括高密度区（LCZ 42）的检测，反映了最近的城市密度，其UHImax最高，仅次于LCZ 2 (4.2-4.9 K)，以及稀疏和低层分类中LCZ 9D和LCZ 6D的植被分化变异，其UHImax （0.5-0.7 K）明显高于参考基准类型。值得注意的是，低层和紧凑类型形态的树木覆盖率仍然很低，这揭示了绿化干预的大量机会。这种数据驱动的改进保留了LCZ的全球可比性，同时考虑了当地的特殊性，为住宅环境中有针对性的气候适应策略提供了改进的框架。

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引用次数: 0

The smarts behind the switch: Smart city construction and urban energy transition 转换背后的智慧：智慧城市建设和城市能源转型

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

Sustainable Cities and Society

Pub Date : 2026-01-01 DOI: 10.1016/j.scs.2025.107092

Shanyong Wang, Yue Huang, Jiuchang Wei, Rongwei Zhang

The Smart City Pilot (SCP) policy, which has been implemented since 2012, has the potential to address the dilemma between economic development and environmental protection. However, its specific contributions to energy transition remain underexplored. This study employs the Difference-in-Differences (DID) method, utilizing a sample of 276 prefecture-level cities in China, to evaluate the impact of SCP policy on urban energy transition. The findings demonstrate that the SCP policy has a considerable facilitating impact on urban energy transition, and this conclusion remains robust after performing a series of robustness checks. The SCP policy facilitates urban energy transition by promoting green innovation, enhancing energy utilization efficiency, and reducing unnecessary government intervention. A heterogeneity analysis indicates that the effects of SCP policy on urban energy transition are more pronounced in northern cities, resource-based cities, highly polluted cities, and cities with lower levels of digital infrastructure and informationization. Notably, considering the tremendous potential of artificial intelligence (AI) in smart city construction and urban energy transition, this research further tests the effect of SCP policy on urban energy transition under different AI thresholds. The threshold effect analysis suggests that there is a clear threshold effect of AI, with the SCP policy's facilitation of urban energy transition being particularly evident in highly intelligent urban environments. This research provides a basis for China's advancement in smart city construction and urban energy transition.

自2012年开始实施的智慧城市试点（SCP）政策有可能解决经济发展与环境保护之间的困境。然而，它对能源转型的具体贡献仍未得到充分探讨。本研究以276个地级市为样本，采用差分法（DID）评估了SCP政策对城市能源转型的影响。研究结果表明，SCP政策对城市能源转型具有相当大的促进作用，并且在进行一系列稳健性检验后，这一结论仍然是稳健性的。SCP政策通过促进绿色创新、提高能源利用效率和减少不必要的政府干预来促进城市能源转型。异质性分析表明，SCP政策对城市能源转型的影响在北方城市、资源型城市、高污染城市和数字基础设施和信息化水平较低的城市更为明显。值得注意的是，考虑到人工智能在智慧城市建设和城市能源转型中的巨大潜力，本研究进一步测试了不同人工智能阈值下SCP政策对城市能源转型的影响。阈值效应分析表明，人工智能存在明显的阈值效应，SCP政策对城市能源转型的促进作用在高度智能化的城市环境中表现得尤为明显。本研究为中国推进智慧城市建设和城市能源转型提供了依据。

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引用次数: 0

Big data fusion-driven geospatial knowledge graph construction method for sustainable smart cities 大数据融合驱动的可持续智慧城市地理空间知识图谱构建方法

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

Sustainable Cities and Society

Pub Date : 2026-01-01 DOI: 10.1016/j.scs.2025.107027

Yuxi Duan , Maohan Liang , Yan Li , Ruobin Gao , Jin Chen , Zhong Shuo Chen , Hua Wang

Urban planning faces increasing challenges in integrating and analyzing multi-source geospatial data due to inconsistencies in spatial resolution, data latency, and processing inefficiency. Traditional geographic information systems (GIS) and remote sensing models typically rely on a single data source, limiting their ability to deliver accurate and comprehensive insights for smart city development. This paper proposes a Big Data Fusion-Driven Geospatial Knowledge Graph framework (BDF-GeoKG) to address these limitations by integrating vector, raster, text, and image data. The proposed framework follows a structured process of entity extraction, relationship construction, attribute extraction, and entity alignment to establish a unified geospatial knowledge graph. Entity extraction identifies geographic objects and attributes from multi-source data. Relationship construction defines spatial and semantic connections between entities. Attribute extraction assigns detailed properties to entities, including spatial, environmental, and textual attributes. Entity alignment is achieved using road-based alignment strategies to ensure consistency across different data sources. The graph-based data model was implemented using Neo4j to support efficient storage, querying, and analysis of multi-modal data. Experimental validation using real-world data from Wuhan demonstrated the framework’s effectiveness in urban heat island analysis, traffic flow monitoring, travel recommendations, and land use change detection. The results highlight the framework’s potential to enhance data integration, support dynamic urban analysis, and provide intelligent decision-making support for sustainable smart city planning. Compared to traditional GIS workflows, BDF-GeoKG achieves comparable analytical accuracy while reducing query response time by over 40% and lowering the technical barrier for non-specialist users.

由于空间分辨率不一致、数据延迟和处理效率低下，城市规划在整合和分析多源地理空间数据方面面临越来越大的挑战。传统的地理信息系统（GIS）和遥感模型通常依赖于单一数据源，限制了它们为智慧城市发展提供准确和全面见解的能力。本文提出了一个大数据融合驱动的地理空间知识图谱框架（BDF-GeoKG），通过整合矢量、栅格、文本和图像数据来解决这些限制。该框架遵循实体提取、关系构建、属性提取和实体对齐的结构化过程，建立统一的地理空间知识图谱。实体提取从多源数据中识别地理对象和属性。关系构建定义了实体之间的空间和语义联系。属性提取为实体分配详细的属性，包括空间、环境和文本属性。实体对齐是使用基于道路的对齐策略来实现的，以确保跨不同数据源的一致性。基于图的数据模型是使用Neo4j实现的，以支持对多模态数据的高效存储、查询和分析。利用武汉的实际数据进行的实验验证表明，该框架在城市热岛分析、交通流量监测、出行建议和土地利用变化检测方面是有效的。研究结果强调了该框架在增强数据集成、支持动态城市分析以及为可持续智慧城市规划提供智能决策支持方面的潜力。与传统的GIS工作流相比，BDF-GeoKG实现了相当的分析精度，同时将查询响应时间减少了40%以上，并降低了非专业用户的技术障碍。

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引用次数: 0

Does shadow matter? Exploring the influence of shade provision on cycling activity from the perspective of urban climate resilience 阴影很重要吗？从城市气候适应能力的角度探讨遮荫对骑行活动的影响

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

Sustainable Cities and Society

Pub Date : 2026-01-01 DOI: 10.1016/j.scs.2025.107103

Junpei Huang , Congying Fang

Although the environmental determinants of cycling activity have received widespread attention, the role of urban thermal environment regulation in shaping recreational cycling has not been fully revealed. Particularly in the context of global climate change, further exploration is needed to optimize cycling-related thermal comfort through built environment design to encourage cycling participation. This study aims to reveal the causal relationship between shade provision and cycling activity from the perspective of urban climate resilience. We utilize massive GPS trajectories collected from fitness apps to portray residents' outdoor recreational cycling activities, measure shade provision employing street view images and deep learning techniques, and apply the spatial econometric approach to empirically investigate the effect and mechanism of shade provision on cycling activities in Shanghai, China. It is found that, firstly, increased shade provision promotes cycling activities by improving urban climate resilience. We adopt historical nightlight data as an instrumental variable to address the endogeneity issue. Further, the effect of shade provision is heterogeneous across seasons; it has the greatest impact on cycling activity in summer, followed by winter. Finally, we emphasize the role of the urban perceived environment, finding that the perception of beauty, liveliness, and wealth positively moderates the effect of shade provision, while perceived boredom and depression weaken its attractiveness. This study provides empirical evidence for the development of climate-adaptive and healthy cities.

尽管骑行活动的环境决定因素已受到广泛关注，但城市热环境调节在塑造休闲骑行中的作用尚未得到充分揭示。特别是在全球气候变化的背景下，需要进一步探索通过建筑环境设计来优化与骑行相关的热舒适，以鼓励骑行参与。本研究旨在从城市气候适应能力的角度揭示遮阳设施与自行车活动之间的因果关系。本文利用健身应用收集的大量GPS轨迹来描绘居民户外休闲骑行活动，利用街景图像和深度学习技术测量遮荫条件，并应用空间计量经济学方法实证研究遮荫条件对上海市骑行活动的影响和机制。研究发现，首先，增加遮荫设施通过提高城市气候适应能力来促进自行车活动。我们采用历史夜灯数据作为工具变量来解决内生性问题。此外，遮荫的效果在不同季节是不同的；夏季对骑行活动的影响最大，其次是冬季。最后，我们强调了城市感知环境的作用，发现对美丽、活力和财富的感知积极调节了遮荫提供的效果，而感知无聊和抑郁削弱了其吸引力。本研究为气候适应型健康城市的发展提供了实证依据。

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引用次数: 0

Urban albedo interventions reshape thermal comfort: A multiscale analysis of heat island, comfort, and energy effects in semi-arid Marrakesh 城市反照率干预重塑热舒适：半干旱的马拉喀什热岛、舒适和能源效应的多尺度分析

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

Sustainable Cities and Society

Pub Date : 2026-01-01 DOI: 10.1016/j.scs.2025.107090

Achraf Rachidi , Sanaa Hayani Mounir , Said Sghir , Sébastien Lebaut

Urban areas face escalating thermal stress from the urban heat island (UHI) effect, exacerbated by climate change and rapid urbanization, necessitating evidence-based mitigation strategies to safeguard public health and enhance sustainability. Here, we present the first systematic evaluation in Marrakesh (Morocco) using an integrated 3D modeling framework coupling the Urban Weather Generator with EnergyPlus and Ladybug Tools to quantify the multi-scale impacts of albedo modification across three distinct urban typologies: the traditional medina, the modern Gueliz district, and the informal settlement of Douar Askar. We quantified the effects of ground, wall, and roof albedo variations on urban heat island intensity, outdoor thermal comfort (Mean Radiant Temperature and Universal Thermal Climate Index), building energy consumption, and carbon emissions. Our analysis reveals that while albedo modifications minimally affect urban heat island intensity (<0.04°C), they substantially influence thermal comfort and energy demands in morphology-dependent patterns. Ground albedo increases elevate daytime radiant temperatures (up to +12°C MRT, with UTCI rising by +6.64°C in open morphologies), degrading pedestrian comfort, whereas wall albedo enhancements improve thermal conditions in dense urban fabrics (-2.5°C MRT). High-albedo modifications demonstrate substantial morphology-dependent benefits: roofs achieve net energy savings up to 12.63 kWh/m² (9.94%) with cooling reductions of 37.3% and carbon emission reductions of 10.27 kgCO₂/m^², walls reach 13.72 kWh/m^² (7.76%) energy savings with 42.9% cooling reduction and 11.15 kgCO_₂/m² emission reduction, with all savings presented on a net annual basis, albeit with heating penalties reaching +109%. These findings reveal complex, non-linear relationships between urban morphology, surface properties, and thermal performance, challenging conventional albedo-based cooling strategies and demonstrating that effective heat mitigation requires morphology-tailored approaches rather than universal albedo prescriptions. This research establishes a methodological framework for evaluating climate adaptation strategies in semi-arid regions, with implications for sustainable urban planning in other rapidly urbanizing areas facing similar climatic challenges.

城市地区面临着城市热岛效应带来的日益加剧的热压力，气候变化和快速城市化加剧了这种压力，因此需要采取基于证据的缓解战略，以保障公众健康并增强可持续性。本文首次在摩洛哥马拉喀什进行了系统评估，使用集成的3D建模框架，将城市天气生成器与EnergyPlus和Ladybug Tools相结合，量化了反照率改变对三种不同城市类型的多尺度影响：传统的麦地那、现代的Gueliz区和非正式的Douar Askar定居点。我们量化了地面、墙壁和屋顶反照率变化对城市热岛强度、室外热舒适（平均辐射温度和通用热气候指数）、建筑能耗和碳排放的影响。我们的分析表明，虽然反照率变化对城市热岛强度（0.04°C）的影响最小，但它们以形态依赖的模式显著影响热舒适和能量需求。地面反照率的增加提高了白天的辐射温度（高达+12°C的MRT，开放形态下UTCI上升+6.64°C），降低了行人的舒适度，而墙体反照率的增强改善了密集城市结构的热条件（-2.5°C的MRT）。高反照率的改变显示出巨大的形态依赖的好处：屋顶实现了高达12.63 kWh/m²（9.94%）的净节能，制冷减少37.3%，碳排放减少10.27 kgCO₂/m²；墙壁达到13.72 kWh/m²（7.76%）的节能，制冷减少42.9%，减排11.15 kgCO₂/m²，所有的节能都是在净年基础上呈现的，尽管加热损失达到+109%。这些发现揭示了城市形态、表面性质和热性能之间复杂的非线性关系，挑战了传统的基于反照率的冷却策略，并表明有效的热缓解需要针对形态的方法，而不是通用的反照率处方。本研究建立了评估半干旱地区气候适应策略的方法框架，对其他面临类似气候挑战的快速城市化地区的可持续城市规划具有启示意义。

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引用次数: 0

Understanding nonlinear and spatially heterogeneous effects of urban residential morphology on land surface temperature: Integrating SOM, XGBoost-SHAP, and GWR models 理解城市居住形态对地表温度的非线性和空间异质性影响——基于SOM、XGBoost-SHAP和GWR模型的整合

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

Sustainable Cities and Society

Pub Date : 2026-01-01 DOI: 10.1016/j.scs.2025.107100

Xinyang Liu , Siyuan Wang , Guangxi Tang

The thermal environment of urban residential areas significantly impacts thermal comfort and urban sustainability. However, challenges remain in accurately identifying distinct residential morphology types and in elucidating the nonlinear relationships and spatial heterogeneity between internal structure and land surface temperature (LST). This study focuses on Beijing's Haidian District, where a novel morphological classification framework was developed by integrating Local Climate Zone (LCZ) with the Self-Organizing Map (SOM) method, enabling a refined identification of residential morphology. An interpretable XGBoost-SHAP machine learning model was employed to quantify the effects of morphological factors on LST at both global and group levels. Finally, spatial heterogeneity was examined using Geographically Weighted Regression (GWR). The results indicate that (1) A total of 25 distinct urban morphology types were identified, dominated by compact and open mid-rise mixed building types (LCZ2-M and LCZ5-M), with an overall circling development. (2) In summer, compact built types exert stronger negative effects on the thermal environment than land cover types. Conversely, the opposite pattern is observed in winter. In the same LCZ, mixed layouts contribute the highest summer LST, whereas enclosed layouts dominate in winter. (3) Impervious surface fraction (ISF) emerged as the most influential factor on summer LST, followed by average building height (ABH), building density (BD), and Shannon Diversity Index (SHDI), underscoring the crucial roles of vertical spatial structure and landscape diversity. (4) The regulatory mechanisms of LST vary structurally and seasonally across different LCZ types. High-rise compact types mitigate heat accumulation through shading and ventilation, whereas open and vegetation-dominated types alleviate thermal stress via blue-green spaces evapotranspiration. Notably, open enclosure layouts provide effective shading during summer and enhance heat retention in winter. These findings offer nuanced strategies for optimizing thermal regulation within residential environments.

城市住区热环境对热舒适和城市可持续性有显著影响。然而，在准确识别不同的居住形态类型以及阐明内部结构与地表温度（LST）之间的非线性关系和空间异质性方面仍然存在挑战。本研究以北京市海淀区为研究对象，将局地气候带（LCZ）与自组织地图（SOM）方法相结合，建立了一种新的形态分类框架，实现了住宅形态的精细识别。采用可解释的XGBoost-SHAP机器学习模型，在全球和群体水平上量化形态因子对地表温度的影响。最后，利用地理加权回归（GWR）分析空间异质性。结果表明：(1)我市共发现25种不同的城市形态类型，以紧凑和开放的中高层混合建筑类型（LCZ2-M和LCZ5-M）为主，整体呈环形发展；(2)夏季，紧凑建筑类型对热环境的负面影响强于土地覆被类型。相反，在冬季观察到相反的模式。在同一LCZ内，夏季混合型布局对地表温度贡献最大，冬季封闭式布局占主导地位。(3)不透水面分数（ISF）对夏季地表温度的影响最大，其次是平均建筑高度（ABH）、建筑密度（BD）和Shannon多样性指数（SHDI），表明垂直空间结构和景观多样性对夏季地表温度的影响至关重要。(4)不同LCZ类型的地表温度调节机制存在结构和季节差异。高层紧凑型通过遮阳和通风来缓解热量积累，而开放式和植被为主的类型通过蓝绿空间的蒸散作用来缓解热应力。值得注意的是，开放的围栏布局在夏季提供有效的遮阳，并在冬季加强保温。这些发现为优化住宅环境中的热调节提供了细致入微的策略。

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引用次数: 0

Sustainable urban space planning of underground logistics system using multi-source data fusion: A 3D space suitability evaluation framework 基于多源数据融合的地下物流系统可持续城市空间规划：三维空间适宜性评价框架

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

Sustainable Cities and Society

Pub Date : 2026-01-01 DOI: 10.1016/j.scs.2025.107111

Longlong Hou , Yuanxian Xu , Jiyong Lei , Jinlong Zhao , Jian Zhao , Heap-Yih Chong , Yicun Chen

The sustainable development of cities necessitates the innovative and integrated use of urban space. Underground logistics system (ULS) is a smart infrastructure solution that can promote sustainable urban space development. It involves complex interactions between logistics requirements and sustainable urban space governance. However, existing evaluations of space suitability for ULS construction planning (SS-UCP) often focus on logistics space analysis while neglecting the environmental constraints related to underground engineering. This gap limits robust decision-support for sustainable infrastructure planning. Hence, in this study, a 3D assessment framework is developed using multi-source data fusion for SS-UCP, with the aim of improving the integration of aboveground and underground space resources. The SS-UCP assessment indices were first formulated to reflect the dual attributes of logistics functionality and underground engineering feasibility. The structural entropy method was subsequently adopted to guarantee the reliability of the weighted model. A 3D high-precision assessment model that integrates multi-source data was designed and applied in a real case study. The results show the impacts of critical factors, including hydrologic and geological conditions, existing infrastructure, and connectivity, across vertical space levels. The innovative assessment framework offers a precise characterization of ULS features, providing important information for sustainable infrastructure development. Furthermore, the present study extends the current literature concerning the coordinated development of aboveground and underground space resources, and can guide policymakers and planners in achieving better sustainable urban space governance outcomes.

城市的可持续发展要求城市空间的创新和综合利用。地下物流系统是促进城市空间可持续发展的智能基础设施解决方案。它涉及物流需求和可持续城市空间治理之间复杂的相互作用。然而，现有的地下工程建设规划空间适宜性评价（SS-UCP）往往侧重于物流空间分析，而忽视了地下工程相关环境约束。这一差距限制了对可持续基础设施规划的有力决策支持。为此，本研究利用多源数据融合技术开发了SS-UCP三维评价框架，旨在提高地上地下空间资源的整合。首次建立了反映物流功能性和地下工程可行性双重属性的SS-UCP评价指标。为了保证加权模型的可靠性，采用了结构熵法。设计了一种集成多源数据的三维高精度评价模型，并在实际案例中进行了应用。结果显示了水文地质条件、现有基础设施和连通性等关键因素在垂直空间水平上的影响。创新的评估框架提供了对ULS特征的精确描述，为可持续基础设施发展提供了重要信息。此外，本研究扩展了现有关于地上和地下空间资源协调发展的文献，可以指导决策者和规划者更好地实现可持续的城市空间治理成果。

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引用次数: 0

Analysing blue-green infrastructure in cool urban layouts of Hong Kong: a public open space-centered approach 分析香港城市布局中的蓝绿色基础设施：以公共开放空间为中心的方法

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

Sustainable Cities and Society

Pub Date : 2026-01-01 DOI: 10.1016/j.scs.2025.107086

Anvar Mukhamedjanov, Bo-Sin Tang, Weifeng Li

Blue-green infrastructure (BGI) is a key nature-based solution for mitigating urban heat, yet its effective planning depends on accurate thermal and land-use data. Previous studies have relied on lower-resolution techniques that overlook fine-scale BGI-built form relationships in high-density cities, compromising the accuracy and thermal resilience of resulting urban environments. To overcome this, we employ higher-resolution (30 m) Landsat 8 imagery to analyse the relationship between land cover and land surface temperature (LST) in public open space (POS)-centred urban layouts, using high-density Hong Kong as a case study. Our findings suggest a new model for cooler high-density urban layouts and reveal a significantly higher vegetation requirement than earlier, lower-resolution studies indicated, pointing to a substantial underestimation in the existing literature. We further demonstrate that BGI alone is insufficient for cooling a humid subtropical city, necessitating a strategic shift in urban design to synergistically combine BGI with wind-optimised layouts, shading-oriented building geometry, addressing overlooked microclimatic heterogeneity. This research provides an evidence-based framework for land-use policy by identifying distinct, cooler BGI-rich layouts. It further discusses how these layouts can push global climate classifications from generic types toward context-specific urban forms.

蓝绿基础设施（BGI）是缓解城市热量的关键自然解决方案，但其有效规划取决于准确的热量和土地利用数据。以前的研究依赖于低分辨率的技术，忽略了高密度城市中bgi建造的精细尺度的形式关系，从而影响了城市环境的准确性和热弹性。为了克服这个问题，我们使用更高分辨率（30米）的Landsat 8图像来分析以公共开放空间（POS）为中心的城市布局中土地覆盖与地表温度（LST）之间的关系，并以高密度的香港为例进行研究。我们的研究结果为低温高密度城市布局提供了一种新的模型，并揭示了比早期低分辨率研究表明的更高的植被需求，指出了现有文献中的严重低估。我们进一步证明，华大基因本身不足以为潮湿的亚热带城市降温，因此需要在城市设计中进行战略转变，将华大基因与风优化布局、以遮阳为导向的建筑几何结构协同结合，解决被忽视的小气候异质性。这项研究通过识别独特的、更酷的、富含bgi的布局，为土地使用政策提供了一个基于证据的框架。它进一步讨论了这些布局如何将全球气候分类从一般类型推向特定环境的城市形式。

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引用次数: 0

Corrigendum to “Where do resilient cities grow? Exploring the pathways and mechanisms of resilience development” [Sustainable Cities and Society 133 (2025) 106856] “弹性城市在哪里发展？”探索韧性发展的路径与机制[j][可持续城市与社会133 (2025)106856]

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

Sustainable Cities and Society

Pub Date : 2026-01-01 DOI: 10.1016/j.scs.2026.107114

Ting Wang , Tingbao Xu , Zhiqiang Wang , Huimin Wang , Jinle Kang , Lei Qiu , Shi Xue , Zhou Fang , Yue Zhang

引用次数: 0

Spatiotemporal variations of surface and canopy urban heat islands intensities and their divergence modulated by aerosol-driven radiative forcing in eastern China's urban agglomerations 气溶胶驱动辐射强迫对中国东部城市群地表和冠层城市热岛强度的时空变化及其辐散度的调节

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

Sustainable Cities and Society

Pub Date : 2025-12-30 DOI: 10.1016/j.scs.2025.107106

Yimei Yuan , Xuhong Wang , Bingqian Li , Zihao Feng , Chengyu Wang , Jiahang Yang , Jiahui Yang

Urban agglomerations, as focal points of intense human and economic activities, face growing ecological and environmental challenges due to industrial clustering, high population density, and uncontrolled urban expansion. These factors collectively limit sustainable socioeconomic development and ecological balance. Despite extensive urban heat island intensity (UHII) research, the distinct patterns of surface (SUHII) and canopy (CUHII) urban heat island intensities, particularly their responses to aerosol-driven radiative forcing, remain poorly understood. Mann-Kendall trend analysis, random forest modeling, and aerosol radiative forcing assessment based on multisource remote sensing and ground meteorological station data (2003-2023) were integrated to analyze SUHII and CUHII variations across eight major eastern China's urban agglomerations. The key findings are as follows: (1) SUHII consistently surpasses CUHII, with greater daytime effects in southern urban agglomerations but reversed nighttime trends in northern urban agglomerations; (2) Daytime SUHII increased significantly at the 95% confidence level, peaking in spring and summer; nighttime CUHII increase more marked, with 50% of cities showing significant summer rises; and (3) the daytime SUHII is governed by surface characteristic factors, while the nighttime SUHII is jointly controlled by human activities and background climatic factors. Both the daytime and nighttime CUHII are primarily driven by human activities. (4) aerosol-driven spatially and seasonally heterogeneous radiative forcing increases the UHII in northern urban agglomerations (BTH, CP, and GP) but suppresses it in southern urban agglomerations (YRD, CY, and YRMR), except in winter (cooling effect). The results provide insights into UHII-aerosol interaction mechanisms and support region-specific thermal environment management strategies.

城市群作为人类活动和经济活动的集中地，由于产业集聚、人口密度高、城市无序扩张等原因，面临着日益严峻的生态环境挑战。这些因素共同制约着社会经济的可持续发展和生态平衡。尽管对城市热岛强度（UHII）进行了广泛的研究，但地表（SUHII）和冠层（CUHII）城市热岛强度的不同模式，特别是它们对气溶胶驱动的辐射强迫的响应，仍然知之甚少。基于2003-2023年多源遥感和地面气象站数据，综合Mann-Kendall趋势分析、随机森林模型和气溶胶辐射强迫评估，分析了中国东部8个主要城市群的SUHII和CUHII变化。主要发现如下：(1)SUHII持续优于CUHII，在南方城市群白天效应更大，而在北方城市群夜间趋势相反；(2)白天SUHII在95%置信水平上显著增加，在春夏季达到峰值；夜间CUHII增长更为明显，50%的城市在夏季出现显著增长；(3)白天受地表特征因子控制，夜间受人类活动和背景气候因子共同控制。白天和夜间的CUHII主要是由人类活动驱动的。(4)气溶胶驱动的空间和季节非均质辐射强迫增加了北部城市群（BTH、CP和GP）的UHII，但抑制了南部城市群（YRD、CY和YRMR）的UHII，冬季除外（冷却效应）。研究结果为深入了解uhii -气溶胶相互作用机制提供了见解，并为区域热环境管理策略提供了支持。

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