Equalizing the spatial accessibility of emergency medical services in Shanghai: A trade-off perspective
文献类型：期刊论文
| 作者 | Li, Mengya2; Wang, Fahui1; Kwan, Mei-Po3,4,5; Chen, Jie6; Wang, Jun2 |
| 刊名 | COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
 |
| 出版日期 | 2022-03-01 |
| 卷号 | 92页码:12 |
| ISSN号 | 0198-9715 |
| 关键词 | EMS accessibility Equality Quadratic programming (QP) 2-step optimization (2SO) model Greedy optimization (GO) Maximum covering location problem (MCLP) |
| DOI | 10.1016/j.compenvurbsys.2021.101745 |
| 通讯作者 | Wang, Jun(jwang@geo.ecnu.edu.cn) |
| 英文摘要 | Planning public services needs to promote equal access across geographic areas and between demographic groups. However, most location-allocation models emphasize efficiency such as minimal travel burden or maximal demand coverage while omitting the equality issue. This case study optimizes the emergency medical service (EMS) in Shanghai from a trade-off perspective by comparing two models. One is the 2-step optimization (2SO) model that uses the maximum covering location problem (MCLP) to site new facilities and then a quadratic programming (QP) method to optimize capacities, the other performs location selection and capacity optimization simultaneously through greedy optimization (GO). There are several findings from various simulation scenarios. First, the GO model is more effective in optimizing equality, but the 2SO model offers a more balanced approach by covering more people within the mandatory response time while improving access equality. Secondly, solutions of both models change as demands and travel costs vary over time and call for dynamic adjustment of resource allocation. Thirdly, it is important to coordinate EMS with other agencies to ensure reasonable road connectivity and make contingency plans in events such as floods, earthquakes and other natural disasters. |
| WOS关键词 | HEALTH-CARE ; SPACE-TIME ; EQUITY ; DEMAND ; OPTIMIZATION ; INEQUALITY ; FACILITIES ; MECHANISM ; JUSTICE ; EVENT |
| 资助项目 | National Natural Science Foundation of China[41971199] ; National Natural Science Foundation of China[42001182] ; Major Program of National Fund of Philosophy and Social Science of China[18ZDA105] ; China Postdoctoral Science Foundation[2019M661424] ; Science and Technology Commission of Shanghai Municipality[19DZ1201505] |
| WOS研究方向 | Computer Science ; Engineering ; Environmental Sciences & Ecology ; Geography ; Operations Research & Management Science ; Public Administration |
| 语种 | 英语 |
| 出版者 | ELSEVIER SCI LTD |
| WOS记录号 | WOS:000754175200003 |
| 资助机构 | National Natural Science Foundation of China ; Major Program of National Fund of Philosophy and Social Science of China ; China Postdoctoral Science Foundation ; Science and Technology Commission of Shanghai Municipality |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/171122]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wang, Jun |
| 作者单位 | 1.Louisiana State Univ, Dept Geog & Anthropol, Baton Rouge, LA 70803 USA 2.East China Normal Univ, Sch Geog Sci, Key Lab Geog Informat Sci, Minist Educ, 500 Dongchuan Rd, Shanghai 200241, Peoples R China 3.Chinese Univ Hong Kong, Dept Geog & Resource Management, Hong Kong, Peoples R China 4.Chinese Univ Hong Kong, Inst Space & Earth Informat Sci, Hong Kong, Peoples R China 5.Univ Utrecht, Fac Geosci, Dept Human Geog & Spatial Planning, NL-3584 CB Utrecht, Netherlands 6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Mengya,Wang, Fahui,Kwan, Mei-Po,et al. Equalizing the spatial accessibility of emergency medical services in Shanghai: A trade-off perspective[J]. COMPUTERS ENVIRONMENT AND URBAN SYSTEMS,2022,92:12. |
| APA | Li, Mengya,Wang, Fahui,Kwan, Mei-Po,Chen, Jie,&Wang, Jun.(2022).Equalizing the spatial accessibility of emergency medical services in Shanghai: A trade-off perspective.COMPUTERS ENVIRONMENT AND URBAN SYSTEMS,92,12. |
| MLA | Li, Mengya,et al."Equalizing the spatial accessibility of emergency medical services in Shanghai: A trade-off perspective".COMPUTERS ENVIRONMENT AND URBAN SYSTEMS 92(2022):12. |
入库方式： OAI收割
来源：地理科学与资源研究所
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