A GIS-Based Multi-Criterion Decision-Making Method to Select City Fire Brigade: A Case Study of Wuhan, China
文献类型：期刊论文
| 作者 | Jiang, Yuncheng2; Lv, Aifeng1,4; Yan, Zhigang2; Yang, Zhen3 |
| 刊名 | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
 |
| 出版日期 | 2021-11-01 |
| 卷号 | 10期号:11页码:26 |
| 关键词 | spatial optimization point of interest potential fire-risk zone multi-criterion decision-making traffic situation |
| DOI | 10.3390/ijgi10110777 |
| 通讯作者 | Yan, Zhigang(yanzhg@cumt.edu.cn) |
| 英文摘要 | Rapid urban expansion has brought new challenges to firefighting, with the speed of firefighting rescue being crucial for the safety of property and life. Thus, fire prevention and rescuing people in distress have become more challenging for city managers and emergency responders. Unfortunately, existing research does not consider the negative effects of the current spatial distribution of fire-risk areas, land cover, location, and traffic congestion. To address these shortcomings, we use multiple methods (including geographic information system, multi-criterion decision-making, and location-allocation (L-A)) and multi-source geospatial data (including land cover, point-of-interest, drive time, and statistical yearbooks) to identify suitable areas for fire brigades. We propose a method for identifying potential fire-risk areas and to select suitable fire brigade zones. In this method, we first remove exclusion criteria to identify spatially undeveloped zones and use kernel density methods to evaluate the various fire-risk zones. Next, we use analytic hierarchy processes (AHPs) to comprehensively evaluate the undeveloped areas according to the location, orography, and potential fire-risk zones. In addition, based on the multi-time traffic situation, the average traffic speed during rush hour of each road is calculated, a traffic network model is established, and the travel time is calculated. Finally, the L-A model and network analysis are used to map the spatial coverage of the fire brigades, which is optimized by combining various objectives, such as the coverage rate of high-fire-risk zones, the coverage rate of building construction, and the maintenance of a sub-five-minute drive time between the proposed fire brigade and the demand point. The result shows that the top 50% of fire-risk zones in the central part of Wuhan are mainly concentrated to the west of the Yangtze River. Good overall rescue coverage is obtained with existing fire brigades, but the fire brigades in the north, south, southwest, and eastern areas of the study area lack rescue capabilities. The optimized results show that, to cover the high-fire-risk zones and building constructions, nine fire brigades should be added to increase the service coverage rate from 93.28% to 99.01%. The proposed method combines the viewpoint of big data, which provides new ideas and technical methods for the fire brigade site-selection model. |
| WOS关键词 | ANALYTIC HIERARCHY PROCESS ; SITE SELECTION ; OF-INTEREST ; LOCATION ; MODEL ; URBAN ; STATIONS ; DESIGN ; AHP |
| 资助项目 | National Natural Science Foundation of China[41971370] ; National Key Research and Development Program of China[2017YFC1502903] |
| WOS研究方向 | Computer Science ; Physical Geography ; Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000726799900001 |
| 出版者 | MDPI |
| 资助机构 | National Natural Science Foundation of China ; National Key Research and Development Program of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/168389]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Yan, Zhigang |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res IGSNRR, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 2.China Univ Min & Technol, Sch Environm Sci & Spatial Informat, Xuzhou 221116, Jiangsu, Peoples R China 3.Liaoning Tech Univ, Sch Geomat, Fuxing 123000, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Jiang, Yuncheng,Lv, Aifeng,Yan, Zhigang,et al. A GIS-Based Multi-Criterion Decision-Making Method to Select City Fire Brigade: A Case Study of Wuhan, China[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2021,10(11):26. |
| APA | Jiang, Yuncheng,Lv, Aifeng,Yan, Zhigang,&Yang, Zhen.(2021).A GIS-Based Multi-Criterion Decision-Making Method to Select City Fire Brigade: A Case Study of Wuhan, China.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,10(11),26. |
| MLA | Jiang, Yuncheng,et al."A GIS-Based Multi-Criterion Decision-Making Method to Select City Fire Brigade: A Case Study of Wuhan, China".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 10.11(2021):26. |
入库方式： OAI收割
来源：地理科学与资源研究所
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