Research on emergency evacuation vulnerability of the traffic network model based on GIS
Wen JIANG1,2,3, Qiming QIN1,2,3()
1.Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, China 2.Beijing Key Lab of Spatial Information Integration and 3S Application, Peking University, Beijing 100871, China 3.Mapping and Geo-information for Geographic Information Basic Software and Applications, Engineering Research Center of National Administration of Surveying, Beijing 100871, China
In order to analyze the influence of traffic network on urban emergency evacuation, the authors studied the vulnerabilities of traffic network and the model of emergency evacuation by GIS spatial analysis. Searching for vulnerable points in road network was conducted by minimal cost maximal flow (MCMF) algorithm. Then the algorithm was evaluated using the road network data in Beijing. Compared with existing software, the proposed method based on GIS platform extracts the road network vulnerabilities more accurately, and it also increases the utilization of the road network in the emergency evacuation and speed up the evacuation.
姜文, 秦其明. 基于GIS的路网应急疏散脆弱性研究[J]. 国土资源遥感, 2019, 31(1): 277-282.
Wen JIANG, Qiming QIN. Research on emergency evacuation vulnerability of the traffic network model based on GIS. Remote Sensing for Land & Resources, 2019, 31(1): 277-282.
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