An enhanced model for evacuation vulnerability assessment in urban areas
文献类型：期刊论文
| 作者 | Chen, Jie1 ; Pei, Tao1,2,3; Li, Mingxiao1,4; Song, Ci1; Ma, Ting1,2,3; Lu, Feng1,2,3; Shaw, Shih-Lung5
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| 刊名 | COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
 |
| 出版日期 | 2020-11-01 |
| 卷号 | 84页码:12 |
| 关键词 | Fine-grained Evacuation vulnerability Critical cluster model Mobile phone data Shanghai |
| ISSN号 | 0198-9715 |
| DOI | 10.1016/j.compenvurbsys.2020.101540 |
| 通讯作者 | Pei, Tao(peit@lreis.ac.cn) |
| 英文摘要 | Rapid urbanization has led to a massive influx of people into cities. When many people congregate in urban areas, crowd crushing emergencies are likely to occur. If vulnerable areas with potential evacuation problems are detected in advance, crowd crushing emergencies may be minimized or even avoided. Thus, an evacuation vulnerability assessment from a precautionary perspective is fundamental. However, the current evacuation vulnerability assessment models are limited in spreading time estimation and evacuation capacity evaluation. To mitigate these limitations, in this study, we propose an enhanced model to quantitatively assess the evacuation vulnerability in urban areas. Our model enhances the current models in two ways. First, we employ a hexagon gridding scheme to construct a network to meet the prerequisite of evacuation spreading at the equal time intervals. Second, we quantify the grid connectivity on the network by considering the grid capacity to avoid underestimation of the evacuation vulnerability. Using a mobile phone location dataset of Shanghai, we systematically investigate the evacuation vulnerability of urban areas in a fine-grained spatio-temporal scale. Areas that may encounter evacuation problems to various degrees can be identified in advance. This information can support emergency management agencies in monitoring dense crowds and ensure early warnings of potential crowd crushing emergencies. |
| WOS关键词 | EMERGENCY ; SIMULATION ; RISK |
| 资助项目 | National Natural Science Foundation of China[41421001] ; National Natural Science Foundation of China[41525004] ; National Natural Science Foundation of China[41631177] ; National Key Research and Development Program of China[2017YFB0503604] |
| WOS研究方向 | Computer Science ; Engineering ; Environmental Sciences & Ecology ; Geography ; Operations Research & Management Science ; Public Administration |
| 语种 | 英语 |
| WOS记录号 | WOS:000581186100004 |
| 出版者 | ELSEVIER SCI LTD |
| 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/311030/157175]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Pei, Tao |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing, Peoples R China 4.Shenzhen Univ, Sch Architecture & Urban Planning, Shenzhen, Peoples R China 5.Univ Tennessee, Dept Geog, Knoxville, TN 37996 USA |
| 推荐引用方式 GB/T 7714 | Chen, Jie,Pei, Tao,Li, Mingxiao,et al. An enhanced model for evacuation vulnerability assessment in urban areas[J]. COMPUTERS ENVIRONMENT AND URBAN SYSTEMS,2020,84:12. |
| APA | Chen, Jie.,Pei, Tao.,Li, Mingxiao.,Song, Ci.,Ma, Ting.,...&Shaw, Shih-Lung.(2020).An enhanced model for evacuation vulnerability assessment in urban areas.COMPUTERS ENVIRONMENT AND URBAN SYSTEMS,84,12. |
| MLA | Chen, Jie,et al."An enhanced model for evacuation vulnerability assessment in urban areas".COMPUTERS ENVIRONMENT AND URBAN SYSTEMS 84(2020):12. |
入库方式： OAI收割
来源：地理科学与资源研究所
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