A Study on the Accessibility of the Emergency Medical Services for Urban Kindergartens and Nursing Homes Based on Urban Pluvial Flooding Scenarios

Hongbin Shi, Miao Zhou, Nana Kong (), Yongling Zhang () and Xin Li
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Hongbin Shi: School of Emergency Management, Henan Polytechnic University, Jiaozuo 454000, China
Miao Zhou: School of Emergency Management, Henan Polytechnic University, Jiaozuo 454000, China
Nana Kong: School of Emergency Management, Henan Polytechnic University, Jiaozuo 454000, China
Yongling Zhang: School of Emergency Management, Henan Polytechnic University, Jiaozuo 454000, China
Xin Li: School of Emergency Management, Henan Polytechnic University, Jiaozuo 454000, China

Sustainability, 2023, vol. 15, issue 13, 1-12

Abstract: Vulnerable groups such as children and the elderly are the focus of emergency medical rescue during urban pluvial floods. Taking the Erqi District of Zhengzhou City as an example, the SCS-CN model and Chicago rainfall model are used to simulate pluvial flooding based on the comprehensive consideration of urban rainfall, runoff, topography, and drainage. Additionally, the accessibility of emergency medical aid for kindergartens and nursing homes is evaluated in the Erqi District of Zhengzhou under different pluvial flooding scenarios using GIS network analysis technology. The results showed that the number of kindergartens and nursing homes without timely access to emergency medical rescue increased with the increase in precipitation return periods. Under the 500-year and 1000-year pluvial flooding scenarios, kindergartens and nursing homes that can obtain emergency medical rescue had delayed response times. Furthermore, with the increase in the precipitation return periods, both the number and delay time of kindergartens and nursing homes significantly increased. The accessibility and delay time of emergency medical rescue in kindergartens and nursing homes were determined by the intensity of pluvial flooding (including inundation area and depth), road traffic conditions, and the number and location of medical institutions, nursing homes, and kindergartens. The research results can provide a scientific basis for improving the refinement level of urban flood disaster management and emergency response services.

Keywords: urban pluvial flooding; scenario simulation; emergency medical rescue; spatial accessibility; delay time; GIS (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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