基于GIS的路网应急疏散脆弱性研究
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  • 英文篇名:Research on emergency evacuation vulnerability of the traffic network model based on GIS
  • 作者:姜文 ; 秦其明
  • 英文作者:JIANG Wen;QIN Qiming;Institute of Remote Sensing and Geographic Information System,School of Earth and Space Sciences,Peking University;Beijing Key Lab of Spatial Information Integration and 3S Application,Peking University;Mapping and Geo-information for Geographic Information Basic Software and Applications,Engineering Research Center of National Administration of Surveying;
  • 关键词:GIS ; 路网模型 ; 应急疏散 ; 脆弱性 ; MCMF
  • 英文关键词:GIS;;traffic network model;;emergency evacuation;;vulnerability;;MCMF
  • 中文刊名:GTYG
  • 英文刊名:Remote Sensing for Land & Resources
  • 机构:北京大学地球与空间科学学院遥感与地理信息系统研究所;空间信息集成与3S工程应用北京市重点实验室;地理信息基础软件与应用国家测绘地理信息局工程技术研究中心;
  • 出版日期:2019-03-16 13:32
  • 出版单位:国土资源遥感
  • 年:2019
  • 期:v.31;No.121
  • 基金:国家重点研发计划资助项目“黄准海地区小麦生长卫星遥感监测预测”(编号:2016YFD0300603-2);; 国家自然科学基金国际(地区)合作与交流项目“作物生长与健康遥感监测与评价技术研究”(编号:61661136006)共同资助
  • 语种:中文;
  • 页:GTYG201901037
  • 页数:6
  • CN:01
  • ISSN:11-2514/P
  • 分类号:280-285
摘要
针对交通路网对城市应急疏散过程的影响,使用空间分析技术对路网的脆弱性与应急疏散模型进行研究。使用最小费用最大流(minimal cost maximal flow,MCMF)算法寻找GIS路网数据中的脆弱点,以北京某实地区域数据进行算法验证,并与同类软件的提取效果进行比较。结果表明,基于GIS平台集成的模型算法可以准确提取路网脆弱点,可提高在应急疏散中路网的利用效率,加快疏散速度。
        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.
引文
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