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 accessi...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.展开更多
基金funded by the National Natural Science Foundation of China(Grant Nos.41971199,42371088,42171080)the National Social Science Foundation of China(Grant No.18ZDA105)+1 种基金the financial support from the program of China Scholarships Council(Grant No.202206140063)the East China Normal University Academic Innovation Promotion Program for Excellent Doctoral Students(Grant No.YBNLTS2023-003)。
文摘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.
