Spatial Optimization of Mega-City Fire Stations Based on Multi-Source Geospatial Data: A Case Study in Beijing
文献类型：期刊论文
| 作者 | Wang, Wenda1; Xu, Zhibang2; Sun, Dongqi3; Lan, Ting4 |
| 刊名 | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
 |
| 出版日期 | 2021-05-01 |
| 卷号 | 10期号:5页码:19 |
| 关键词 | spatial optimization mega city points of interest traffic situation fire station Beijing |
| DOI | 10.3390/ijgi10050282 |
| 通讯作者 | Xu, Zhibang(xuxugis@foxmail.com) |
| 英文摘要 | The spatial distribution of fire stations is an important component of both urban development and urban safety. For expanding mega-cities, land-use and building function are subject to frequent changes, hence a complete picture of risk profiles is likely to be lacking. Challenges for prevention can be overwhelming for city managers and emergency responders. In this context, we use points of interest (POI) data and multi-time traffic situation (MTS) data to investigate the actual coverage of fire stations in central Beijing under different traffic situations. A method for identifying fire risks of mega cities and optimizing the spatial distribution of fire stations was proposed. First, fire risks associated with distinctive building and land-use functions and their spatial distribution were evaluated using POI data and kernel density analysis. Furthermore, based on the MTS data, a multi-scenario road network was constructed. The "location-allocation" (L-A) model and network analysis were used to map the spatial coverage of the fire stations in the study area, optimized by combining different targets (e.g., coverage of high fire risk areas, important fire risk types). Results show that the top 10% of Beijing's fire risk areas are concentrated in "Sanlitun-Guomao", "Ditan-Nanluogu-Wangfujing", and "Shuangjing-Panjiayuan", as well as at Beijing Railway Station. Under a quarterly average traffic situation, existing fire stations within the study area exhibit good overall POI coverage (96.51%) within a five-minute response time. However, the coverage in the northwest and southwest, etc. (e.g., Shijicheng and Minzhuang) remain insufficient. On weekdays and weekends, the coverage of fire stations in the morning and evening rush hours fluctuates. Considering the factors of high fire risk areas, major fire risk types, etc. the results of optimization show that 15 additional fire stations are needed to provide sufficient coverage. The methods and results of this research have positive significance for future urban safety planning of mega-cities. |
| WOS关键词 | ANALYTIC HIERARCHY PROCESS ; OF-INTEREST ; SITE SELECTION ; LOCATION ; URBAN ; MODEL ; GIS ; FOREST |
| 资助项目 | National Natural Science Foundation of China[41971162] |
| WOS研究方向 | Computer Science ; Physical Geography ; Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000653979000001 |
| 出版者 | MDPI |
| 资助机构 | National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/162676]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Xu, Zhibang |
| 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 4.Chinese Acad Sci, Inst Urban Environm, Xiamen 361021, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Wenda,Xu, Zhibang,Sun, Dongqi,et al. Spatial Optimization of Mega-City Fire Stations Based on Multi-Source Geospatial Data: A Case Study in Beijing[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2021,10(5):19. |
| APA | Wang, Wenda,Xu, Zhibang,Sun, Dongqi,&Lan, Ting.(2021).Spatial Optimization of Mega-City Fire Stations Based on Multi-Source Geospatial Data: A Case Study in Beijing.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,10(5),19. |
| MLA | Wang, Wenda,et al."Spatial Optimization of Mega-City Fire Stations Based on Multi-Source Geospatial Data: A Case Study in Beijing".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 10.5(2021):19. |
入库方式： OAI收割
来源：地理科学与资源研究所
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