{"title":"Last defense in climate change: Assessing healthcare inequities in response to compound environmental risk in a megacity in Northern China","authors":"Qi Cheng , Shiyan Sha","doi":"10.1016/j.scs.2024.105886","DOIUrl":null,"url":null,"abstract":"<div><div>The compound risk of extreme heat and air pollution in the context of climate change has become an important challenge for megacities in Northern China. Severe spatial differences exist in healthcare facilities, which are the last defense to protect the health of residents. Understanding the match between compound risks and healthcare services is important for ensuring the basic well-being of residents. We selected 255 census units in Tianjin to comprehensively assess the healthcare services and risks of hazards, exposures, and social vulnerabilities in order to explore the match between risks and services. We quantified and graded environmental quality on a 5-point scale and investigated inequalities in risk-service relationships across different regions using correlation analysis, analysis of variance (ANOVA), and LISA. The results showed that: (1) the level of compound risk and the variability of risk increased with environmental degradation, main urban areas exhibited the highest level of risk, while suburban and district centralized construction areas demonstrated significant variability in risk; (2) the relationship was significantly imbalanced between healthcare services and risk in suburban and peripheral districts and counties, while the main urban areas and rural areas showed high and low levels of matching respectively; and (3) blue-green spaces could effectively alleviate the pressure on healthcare services in the main urban area and rural area. The results obtained in this study provide references for healthcare allocation strategies in areas with different degrees of environmental degradation, and we call for further planning of healthcare facilities in megacities to enhance their ability to adapt to climate change risks.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"115 ","pages":"Article 105886"},"PeriodicalIF":10.5000,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Cities and Society","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2210670724007108","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
The compound risk of extreme heat and air pollution in the context of climate change has become an important challenge for megacities in Northern China. Severe spatial differences exist in healthcare facilities, which are the last defense to protect the health of residents. Understanding the match between compound risks and healthcare services is important for ensuring the basic well-being of residents. We selected 255 census units in Tianjin to comprehensively assess the healthcare services and risks of hazards, exposures, and social vulnerabilities in order to explore the match between risks and services. We quantified and graded environmental quality on a 5-point scale and investigated inequalities in risk-service relationships across different regions using correlation analysis, analysis of variance (ANOVA), and LISA. The results showed that: (1) the level of compound risk and the variability of risk increased with environmental degradation, main urban areas exhibited the highest level of risk, while suburban and district centralized construction areas demonstrated significant variability in risk; (2) the relationship was significantly imbalanced between healthcare services and risk in suburban and peripheral districts and counties, while the main urban areas and rural areas showed high and low levels of matching respectively; and (3) blue-green spaces could effectively alleviate the pressure on healthcare services in the main urban area and rural area. The results obtained in this study provide references for healthcare allocation strategies in areas with different degrees of environmental degradation, and we call for further planning of healthcare facilities in megacities to enhance their ability to adapt to climate change risks.
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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