Articles | Volume 20, issue 1
https://doi.org/10.5194/nhess-20-181-2020
https://doi.org/10.5194/nhess-20-181-2020
Research article
 | 
17 Jan 2020
Research article |  | 17 Jan 2020

Multi-coverage optimal location model for emergency medical service (EMS) facilities under various disaster scenarios: a case study of urban fluvial floods in the Minhang district of Shanghai, China

Yuhan Yang, Jie Yin, Mingwu Ye, Dunxian She, and Jia Yu

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Cited articles

Alaeddine, H., Serrhini, K., Maizia, M., and Néron, E.: A spatiotemporal optimization model for the evacuation of the population exposed to flood hazard, Nat. Hazards Earth Syst. Sci., 15, 687–701, https://doi.org/10.5194/nhess-15-687-2015, 2015. 
Albano, R., Sole, A., Adamowski, J., and Mancusi, L.: A GIS-based model to estimate flood consequences and the degree of accessibility and operability of strategic emergency response structures in urban areas, Nat. Hazards Earth Syst. Sci., 14, 2847–2865, https://doi.org/10.5194/nhess-14-2847-2014, 2014. 
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China Construction Standard Highway Committee: JTG B01-2003, People's Republic of China industry standard: highway engineering technical standards, People's Communications Publishing House, Beijing, 2004. 
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Short summary
Emergency medical service (EMS) response is important for pre-hospital lifesaving, but disasters increase the difficulty of rescue, which increases the pressure on EMS facilities. In order to avoid the failure of EMS facilities during disasters, we propose a multi-coverage optimal location model for EMS facilities based on results of disaster risk assessment. Results showed that the optimized EMS locations reduced the delay in response and significantly increased the number of rescued people.
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