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大型公园道路网络关键节点脆弱性评价*
引用本文:王瑜,尹鑫伟,张蓓,葛悦,徐亚博.大型公园道路网络关键节点脆弱性评价*[J].中国安全生产科学技术,2021,17(9):181-186.
作者姓名:王瑜  尹鑫伟  张蓓  葛悦  徐亚博
作者单位:(北京市科学技术研究院 城市安全与环境科学研究所,北京 100054)
基金项目:* 基金项目: 国家重点研发计划项目(2018YFF0301003)
摘    要:为更加科学有效地辨识景区道路网络中的客流关键节点,以节点脆弱性为度量指标,提出1种基于FIM模型的关键节点脆弱性评价方法。以某大型公园为例,首先通过ArcGIS软件将该公园的道路网络信息转换成可编译的文本信息,经过Java枚举可行路径,然后利用嵌入FIM算法的Lingo进行优化,得出网络节点的重要度。最后综合节点容量、流量、吸引度等信息加权得出网络节点的脆弱性。结果表明:该方法能够有效地对道路网络节点进行脆弱性度量并排序,景区可据此制定相应的客流导向方案以提高景区资源的利用率,提高游览的安全性。

关 键 词:大型公园  道路网络  节点脆弱性  网络流量阻断模型  客流风险

Vulnerability evaluation of key nodes in road network of large park
WANG Yu,YIN Xinwei,ZHANG Bei,GE Yue,XU Yabo.Vulnerability evaluation of key nodes in road network of large park[J].Journal of Safety Science and Technology,2021,17(9):181-186.
Authors:WANG Yu  YIN Xinwei  ZHANG Bei  GE Yue  XU Yabo
Affiliation:(Institute of Urban Safety and Environmental Sciences,Beijing Academy of Science and Technology,Beijing 100054,China)
Abstract:In order to identify the key nodes of passenger flow in the road network of scenic spots more scientifically and effectively,taking the node vulnerability as a measurement index,a method for evaluating the vulnerability of key nodes based on the flow interdiction model (FIM) was proposed.Taking a large park as an example,the road network information of the park was converted into the compiled text information by using ArcGIS software,then the feasible paths were enumerated by Java,and the Lingo embedded in FIM algorithm was used for optimization,so as to obtain the importance of network nodes.Finally,the vulnerability of network nodes was obtained through the comprehensive weighting of information such as node capacity,flow and attractiveness etc.The results showed that this method could effectively measure and rank the vulnerability of road network nodes,and the scenic spots can formulate the corresponding passenger flow guidance schemes accordingly to improve the utilization rate of scenic spots’ resources and improve the safety of tourists.
Keywords:large park  road network  node vulnerability  network flow interdiction model  passenger flow risk
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