High-resolution outdoor heat-risk modeling for city central areas with applications to Tokyo and Lyon

IF 12 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Sustainable Cities and Society Pub Date : 2025-04-09 DOI:10.1016/j.scs.2025.106344
Alvin C.G. Varquez , Janat Taerakul , Florent Renard , Lucille Alonso , Sunkyung Choi , Ryoga Hiroki , Yasunobu Ashie , Eiko Kumakura , Makoto Okumura , Shinya Hanaoka , Atsushi Inagaki , Manabu Kanda
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Abstract

Owing to climate change, urbanization, and population shifts, heat risks in cities are projected to rise. This work aims to introduce a flexible approach for mapping outdoor heat risks by individually constructing, normalizing, and combining its four key components – hazard, exposure, vulnerability, and adaptive capacity – as recommended by the International Panel on Climate Change. The methodology was demonstrated by constructing 500-m hourly-varying outdoor heat risk maps of elderly population over two city-central areas (Tokyo and Lyon) of distinct geophysical features and demographic conditions during a summer day in 2022. The hazard component was described using a 2-m simulation of heat-stress index (wet-bulb globe temperature), which accounts for urban surface details. Vulnerability, exposure, and adaptive capacity were then defined as functions of hourly 500-m population changes, open-space ratios, and proximity to health centers, respectively. During the selected dates in Tokyo’s and Lyon’s central areas, significant spatiotemporal variations emerged in daytime elderly heat risk due to their unique urban landscapes, local climates, and senior population mobility patterns. Meanwhile, reductions in elderly population movement resulted in low outdoor vulnerability despite the peak heat hazard condition during the noontime. This work highlights the usefulness of the proposed approach, the prevailing complexities of detailed risk mapping over city-central areas, and the utility potential of increasing high-quality geospatial datasets.
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城市中心区高分辨率室外热风险建模在东京和里昂的应用
由于气候变化、城市化和人口转移,预计城市的热风险将上升。这项工作旨在根据国际气候变化专门委员会的建议,通过单独构建、标准化和结合其四个关键组成部分(危害、暴露、脆弱性和适应能力),引入一种灵活的方法来绘制室外热风险图。该方法通过在2022年夏季的一个白天,在两个具有不同地球物理特征和人口条件的城市中心地区(东京和里昂)构建500米小时变化的老年人口室外热风险图来证明。使用热应力指数(湿球温度)的2米模拟来描述危险成分,这说明了城市表面的细节。脆弱性、暴露和适应能力分别被定义为每小时5亿人口变化、开放空间比例和距离卫生中心的函数。在选定的东京和里昂中心地区,由于其独特的城市景观、当地气候和老年人人口流动模式,白天老年人热风险出现了显著的时空变化。同时,老年人口流动的减少导致了室外脆弱性的降低,尽管正午是高温灾害的高峰期。这项工作强调了所提出方法的有用性,城市中心地区详细风险测绘的普遍复杂性,以及不断增加的高质量地理空间数据集的实用潜力。
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来源期刊
Sustainable Cities and Society
Sustainable Cities and Society Social Sciences-Geography, Planning and Development
CiteScore
22.00
自引率
13.70%
发文量
810
审稿时长
27 days
期刊介绍: Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including: 1. Smart cities and resilient environments; 2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management; 3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management); 4. Energy efficient, low/zero carbon, and green buildings/communities; 5. Climate change mitigation and adaptation in urban environments; 6. Green infrastructure and BMPs; 7. Environmental Footprint accounting and management; 8. Urban agriculture and forestry; 9. ICT, smart grid and intelligent infrastructure; 10. Urban design/planning, regulations, legislation, certification, economics, and policy; 11. Social aspects, impacts and resiliency of cities; 12. Behavior monitoring, analysis and change within urban communities; 13. Health monitoring and improvement; 14. Nexus issues related to sustainable cities and societies; 15. Smart city governance; 16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society; 17. Big data, machine learning, and artificial intelligence applications and case studies; 18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems. 19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management; 20. Waste reduction and recycling; 21. Wastewater collection, treatment and recycling; 22. Smart, clean and healthy transportation systems and infrastructure;
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