Deficiency of Healthcare Accessibility of Elderly People Exposed to Future Extreme Coastal Floods: A Case Study of Shanghai, China

Xinmeng Shan; Paolo Scussolini; Jun Wang; Mengya Li; Jiahong Wen; Lei Wang

doi:10.1007/s13753-023-00513-x

Volume 14 Issue 5

Nov. 2023

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Xinmeng Shan, Paolo Scussolini, Jun Wang, Mengya Li, Jiahong Wen, Lei Wang. Deficiency of Healthcare Accessibility of Elderly People Exposed to Future Extreme Coastal Floods: A Case Study of Shanghai, China[J]. International Journal of Disaster Risk Science, 2023, 14(5): 840-857. doi: 10.1007/s13753-023-00513-x

Citation:

Xinmeng Shan, Paolo Scussolini, Jun Wang, Mengya Li, Jiahong Wen, Lei Wang. Deficiency of Healthcare Accessibility of Elderly People Exposed to Future Extreme Coastal Floods: A Case Study of Shanghai, China[J]. International Journal of Disaster Risk Science, 2023, 14(5): 840-857. doi: 10.1007/s13753-023-00513-x

Citation:

Xinmeng Shan, Paolo Scussolini, Jun Wang, Mengya Li, Jiahong Wen, Lei Wang. Deficiency of Healthcare Accessibility of Elderly People Exposed to Future Extreme Coastal Floods: A Case Study of Shanghai, China[J]. International Journal of Disaster Risk Science, 2023, 14(5): 840-857. doi: 10.1007/s13753-023-00513-x

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Deficiency of Healthcare Accessibility of Elderly People Exposed to Future Extreme Coastal Floods: A Case Study of Shanghai, China

doi: 10.1007/s13753-023-00513-x

Xinmeng Shan^1,2,3,4,
Paolo Scussolini^{4
,
,},
Jun Wang^{1,2,3
,
,},
Mengya Li⁵,
Jiahong Wen⁶,
Lei Wang⁷

1. Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai, 200241, China;
2. Institute for National Safety and Emergency Management, East China Normal University, Shanghai, 200062, China;
3. School of Geographic Sciences, East China Normal University, Shanghai, 200241, China;
4. Institute for Environmental Studies, Vrije Universiteit Amsterdam, 1081 HV, Amsterdam, The Netherlands;
5. School of Public Management, East China Normal University, Shanghai, 200062, China;
6. School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai, 200234, China;
7. Department of Geography & Anthropology, Louisiana State University, Baton Rouge, LA, 70803, USA

Funds:

This research was funded by the National Natural Science Foundation of China (Grant Nos. 41971199, 42371088, 42171080), and the National Social Science Foundation of China (Grant No. 18ZDA105). Xinmeng Shan is thankful for the financial support from the program of China Scholarships Council (Grant No. 202206140063), and the East China Normal University Academic Innovation Promotion Program for Excellent Doctoral Students (Grant No. YBNLTS2023-003).

Accepted Date: 2023-09-30

Available Online: 2023-11-23

Publish Date: 2023-10-31

Abstract

Abstract

Socioeconomic development, subsidence, and climate change have led to high flood risks in coastal cities, making the vulnerable, especially elderly people, more prone to floods. However, we mostly do not know how the accessibility of life-saving public resources for the elderly population will change under future scenarios. Using Shanghai as a case, this study introduced a new analytical framework to fill this gap. We integrated for the first time models of coastal flooding, local population growth, and medical resource supply-demand estimation. The results show that under an extreme scenario of coastal flooding in the year 2050, in the absence of adaptation, half of the elderly population may be exposed to floods, the supply of medical resources will be seriously insufficient compared to the demand, and the accessibility of emergency medical services will be impaired by flooding. Our methodology can be applied to gain insights for other vulnerable coastal cities, to assist robust decision making about emergency responses to flood risks for elderly populations in an uncertain future.
- Coastal floods,
- Elderly population,
- Flood exposure analysis,
- Healthcare accessibility,
- Shanghai

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References(55)

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