摘要
基于影响地铁系统脆弱性的干扰事件,构建了干扰事件的有向复杂网络。采用网络密度、平均路径长度、度和度分布,以及聚类系数等分析指标,进行复杂网络的拓扑特征分析。分析结果显示,只有少数关键节点能直接影响地铁脆弱性。采用复杂网络的互信息理论,对干扰事件有向复杂网络节点进行信息量计算和重要性评价,进而找到重要节点。评价结果表明,影响地铁系统脆弱性的关键因素是车站客流量、车辆系统和设备系统,可采取相应的针对性措施来提高地铁运营的安全性。
Based on interference events that are influencing metro system vulnerability,directional complex network model of interference events is constructed.By using analytical indicators including network density,average route length,degree and degree distribution,and clustering coefficient,topological characteristics analysis is conducted on complex network.Analytical results show that only few key nodes can directly affect metro vulnerability.By adopting mutual information theory of complex network,information calculation and importance evaluation are conducted for interference events directional complex network nodes,and to further recognize important nodes.Evaluation results show that the key factors influencing metro system vulnerability is the station passenger flow volume,vehicle system and equipment system,and corresponding measures can be adopted to improve metro operation safety.
作者
王希良
李季瑶
廉梦珂
孙志静
WANG Xiliang;LI Jiyao;LIAN Mengke;SUN Zhijing(School of Traffic and Transportation,Shijiazhuang Tiedao University,050043,Shijiazhung,China)
出处
《城市轨道交通研究》
北大核心
2021年第8期47-50,共4页
Urban Mass Transit
关键词
地铁
运行安全
脆弱性分析
复杂网络模型
互信息理论
metro
operation safety
vulnerability analysis
complex network model
mutual information theory