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ISPRS Int. J. Geo-Inf. 2018, 7(7), 260; https://doi.org/10.3390/ijgi7070260

Measuring Selection Diversity of Emergency Medical Service for Metro Stations: A Case Study in Beijing

1,2,†
,
1,2,* and 1,2
1
State Key Lab of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China
2
Beijing Research Center of Urban Trafc Information Sensing and Service Technologies, Beijing Jiaotong University, Beijing 100044, China
Current address: State Key Lab of Rail Traffic Control and Safety, Beijing Jiaotong University, No. 3 Shangyuancun Haidian District, Beijing 100044, China.
*
Author to whom correspondence should be addressed.
Received: 21 May 2018 / Revised: 25 June 2018 / Accepted: 26 June 2018 / Published: 2 July 2018
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Abstract

It is important for station managers and emergency medical service (EMS) managers to understand the available ambulance stations for each metro station. EMS managers can make use of this information to reallocate EMS resources to improve the performance of EMS system. Station managers can pay attention to the safety management of metro stations with fewer medical rescue support. This paper aims to develop a selection diversity index to address two questions: “How many available ambulance stations are available or can serve the rescue of metro stations in emergency?” and “Which ambulance stations are most vulnerable?”. To implement this measure in practice, definition of available ambulance stations for rescue of metro stations is described based on the response time threshold. The selection diversity is proposed to measure the preparability of medical rescue service for metro stations. To show proof of concept, a real-world case is presented to demonstrate the feasibility of the selection diversity index. View Full-Text
Keywords: emergency medical service; metro station; selection diversity; vulnerability emergency medical service; metro station; selection diversity; vulnerability
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Zhang, Z.; Jia, L.; Qin, Y. Measuring Selection Diversity of Emergency Medical Service for Metro Stations: A Case Study in Beijing. ISPRS Int. J. Geo-Inf. 2018, 7, 260.

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