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Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/nhess-2019-214
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-2019-214
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 18 Jul 2019

Submitted as: research article | 18 Jul 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Natural Hazards and Earth System Sciences (NHESS).

Multi-coverage Optimal Location Model for Emergency Medical Services (EMS) facilities under various disaster scenarios: A case study of urban fluvial floods in the Minhang District of Shanghai, China

Yuhan Yang1,2 and Jie Yin1,2,3 Yuhan Yang and Jie Yin
  • 1Key laboratory of Geographic Information Science (Ministry of Education), East China Normal University, China
  • 2School of Geographic Sciences, East China Normal University, China
  • 3Institute of Eco-Chongming, East China Normal University, China

Abstract. Emergency medical services (EMS) response is extremely critical for pre-hospital lifesaving when disaster events occur. However, disasters increase the difficulty of rescue and add valuable minutes to travel times between dispatch and arrival, thereby increasing the pressure on emergency facilities. Hence, facility location decisions play a crucial role in improving the efficiency of rescue and service capacity. In order to avoid the failure of EMS facilities during disasters and meet the multiple requirements of demand points, we propose a multi-coverage optimal location model for EMS facilities based on the results of disaster impact simulation and prediction. To verify this model, we explicitly simulated the impacts of fluvial flooding events using the FloodMap model. The simulation results suggested that even low-magnitude fluvial flood events resulted in a decrease in the EMS response area. The integration of the model results with a Geographical Information System (GIS) analysis indicated that the optimization of the EMS locations reduced the delay in emergency responses caused by disasters and significantly increased the number of rescued people and the coverage of demand points.

Yuhan Yang and Jie Yin
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Status: open (until 24 Sep 2019)
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Yuhan Yang and Jie Yin
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Short summary
Emergency medical services response is important for pre-hospital lifesaving, but disasters increase the difficulty of rescue so that increasing 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 the results of disaster risk assessment. Results showed that the optimized EMS locations reduced the delay in responses and significantly increased the number of rescued people.
Emergency medical services response is important for pre-hospital lifesaving, but disasters...
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