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Open AccessArticle

A Multi-factor Spatial Optimization Approach for Emergency Medical Facilities in Beijing

by Liang Zhou 1,2, Shaohua Wang 2,* and Zhibang Xu 1,3
1
Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, China
2
Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
3
School of Resource and Environment Science, Wuhan University, Wuhan 430079, China
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2020, 9(6), 361; https://doi.org/10.3390/ijgi9060361
Received: 13 April 2020 / Revised: 14 May 2020 / Accepted: 30 May 2020 / Published: 1 June 2020
(This article belongs to the Special Issue GIS in Healthcare)
The outcomes for emergency medical services (EMS) are highly dependent on space-time accessibility. Prior research describes the location of EMS needs with low accuracy and has not integrated a temporal analysis of the road network, which accounts for varying mobility in a dynamic transportation network. In this study, we formulated a network-based location-allocation model (NLAM) and analyzed the spatial characteristics of emergency medical facilities within the fifth ring road in Beijing by considering time, traffic, and population characteristics. The conclusions are as follows: (1) The high demand area for EMS is concentrated in the areas in middle, north, and east during the daytime (8:00–20:00) and in the middle and north during the nighttime (20:00–8:00). From day to night, the centroid of the potential demand distribution shifts in the Western and Southern areas. (2) The road traffic data is sampled 20 times throughout the week, and variations in the average driving speed affect a higher mean driving speed on the weekend. This primarily impacts the main roads, due to these roads experiencing the greatest fluctuation in speed throughout the week of any roadway in the study area. (3) Finally, the 15-min coverage of emergency medical facilities are sampled 20 times in one week and analyzed. Fortunately, there is 100% coverage at night; however, due to traffic congestion, there were a few blind coverage areas in the daytime. The blind area is prevalent in Shijingshan South Station and the Jingxian Bridge in the South fifth ring. View Full-Text
Keywords: emergency medical facilities; traffic jam; megacity; network-based location-allocation model; Beijing emergency medical facilities; traffic jam; megacity; network-based location-allocation model; Beijing
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Zhou, L.; Wang, S.; Xu, Z. A Multi-factor Spatial Optimization Approach for Emergency Medical Facilities in Beijing. ISPRS Int. J. Geo-Inf. 2020, 9, 361.

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