Heatwaves at work: Typology and spatial distributions of occupations exposed to heatwaves in Korea

IF 10.5 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Sustainable Cities and Society Pub Date : 2024-10-19 DOI:10.1016/j.scs.2024.105921
Sangyun Jeong , Hanna Kang , Minjin Cho , Up Lim
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Abstract

Adapting to heatwaves and other climate change impacts requires identifying vulnerable demographic segments within regions. However, investigations into the spatial distribution of heatwave-vulnerable workers and its implications for local economies have been limited. This study categorizes occupations exposed to heatwaves into five subgroups and analyzes temporal changes in their spatial distributions via a spatial Markov chain model. The results indicate significant heterogeneity in vulnerability among heatwave-exposed occupations, with variations in income, foreign worker proportions, and job instability. The analysis reveals that heatwave-exposed workers are primarily concentrated outside the capital region. Group 3 (manufacturing) exhibited notable industrial clustering, whereas Group 5 (agriculture and fishery) presented high and stable concentrations in rural areas. Conversely, Group 4 (low-skilled and market-sensitive) demonstrates substantial spatial variability. Spatial Markov chain analysis highlights Group 3′s strong agglomeration tendencies influenced by neighboring cities, whereas Group 5 shows minimal spatial effects. Groups 2 and 4 experience considerable shifts in spatial distribution, with Group 2 showing only a 68.7 % probability of sustaining high concentration and Group 4 showing a 62.7 % probability. Recommendations for adaptation strategies and future research related to the economic impacts of climate change are provided on the basis of these findings.
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工作场所的热浪:韩国受热浪影响职业的类型和空间分布
要适应热浪和其他气候变化的影响,就必须确定区域内的弱势人口群体。然而,对易受热浪影响的工人的空间分布及其对当地经济的影响的调查还很有限。本研究将易受热浪影响的职业分为五个亚组,并通过空间马尔可夫链模型分析其空间分布的时间变化。结果表明,受热浪影响的职业在脆弱性方面存在明显的异质性,在收入、外籍工人比例和工作不稳定性方面都存在差异。分析表明,受热浪影响的工人主要集中在首都以外地区。第 3 组(制造业)表现出明显的产业集聚,而第 5 组(农业和渔业)则高度且稳定地集中在农村地区。与此相反,第 4 组(低技能和对市场敏感)显示出很大的空间变异性。空间马尔可夫链分析凸显了第 3 组受周边城市影响的强烈集聚趋势,而第 5 组的空间效应则微乎其微。第 2 组和第 4 组的空间分布发生了很大变化,第 2 组维持高度集中的概率仅为 68.7%,第 4 组为 62.7%。在这些研究结果的基础上,提出了与气候变化的经济影响有关的适应战略和未来研究建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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