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

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

doi:https://doi.org/10.5194/nhess-20-181-2020

Articles | Volume 20, issue 1

https://doi.org/10.5194/nhess-20-181-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-20-181-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 20, issue 1

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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Final revised paper (published on 17 Jan 2020)
Preprint (discussion started on 18 Jul 2019)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'review paper nhess-2019-214', Kamal Serrhini, 26 Aug 2019
- AC1: 'Response to Referee1's comments (with thanks)', Yuhan Yang, 19 Sep 2019
RC2: 'Paper nhess-2019-214', Anonymous Referee #2, 03 Nov 2019
- AC2: 'Response to Referee2's comments (with thanks)', Yuhan Yang, 07 Nov 2019

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Reconsider after major revisions (further review by editor and referees) (07 Nov 2019) by Sven Fuchs

AR by Yuhan Yang on behalf of the Authors (15 Nov 2019) Author's response

ED: Referee Nomination & Report Request started (28 Nov 2019) by Sven Fuchs

RR by Anonymous Referee #2 (30 Nov 2019)

RR by Kamal Serrhini (05 Dec 2019)

ED: Publish as is (06 Dec 2019) by Sven Fuchs

AR by Yuhan Yang on behalf of the Authors (10 Dec 2019) Author's response Manuscript

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.