A Multi-factor Spatial Optimization Approach for Emergency Medical Facilities in Beijing
文献类型：期刊论文
| 作者 | Zhou, Liang1,3; Wang, Shaohua3; Xu, Zhibang1,2 |
| 刊名 | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
 |
| 出版日期 | 2020-06-01 |
| 卷号 | 9期号:6页码:15 |
| 关键词 | emergency medical facilities traffic jam megacity network-based location-allocation model Beijing |
| DOI | 10.3390/ijgi9060361 |
| 通讯作者 | Wang, Shaohua(wangshaohua@lreis.ac.cn) |
| 英文摘要 | 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. |
| WOS关键词 | LOCATION ; ACCESSIBILITY ; SERVICES ; URBAN |
| 资助项目 | National Natural Science Foundation of China[41701173] ; National Natural Science Foundation of China[41961027] ; National Key Research and Development Project[2016YFC0803106] ; China Postdoctoral Science Foundation[2016M600121] |
| WOS研究方向 | Physical Geography ; Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000551832200001 |
| 出版者 | MDPI |
| 资助机构 | National Natural Science Foundation of China ; National Key Research and Development Project ; China Postdoctoral Science Foundation |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/158286]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wang, Shaohua |
| 作者单位 | 1.Lanzhou Jiaotong Univ, Fac Geomat, Lanzhou 730070, Peoples R China 2.Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhou, Liang,Wang, Shaohua,Xu, Zhibang. A Multi-factor Spatial Optimization Approach for Emergency Medical Facilities in Beijing[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2020,9(6):15. |
| APA | Zhou, Liang,Wang, Shaohua,&Xu, Zhibang.(2020).A Multi-factor Spatial Optimization Approach for Emergency Medical Facilities in Beijing.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,9(6),15. |
| MLA | Zhou, Liang,et al."A Multi-factor Spatial Optimization Approach for Emergency Medical Facilities in Beijing".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 9.6(2020):15. |
入库方式： OAI收割
来源：地理科学与资源研究所
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