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城市地铁有向加权网络级联失效模型

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为降低级联失效现象对城市地铁网络造成的破坏性影响,基于复杂网络理论,研究地铁网络中的重要节点和级联失效现象.采用Space-L法,构建地铁网络拓扑结构模型;提出关键站点评价指标,并使用熵权TOPSIS法识别网络中的关键站点;构建级联失效模型,提出考虑线路的方向性和节点的重要性的2种负载重分配策略,分析不同攻击策略和负载重分配策略对网络抗毁性的影响,并以某市地铁网络为例进行仿真分析.研究结果表明:某市地铁关键节点主要为网络中的换乘节点和中心节点;随机、蓄意2种攻击模式下,节点重要度权重取较大值时,网络效率和最大连通度降幅和降速较低,依据节点重要度进行负载分配可降低网络性能指标的下降速度.研究结果可以拓展级联失效研究思路,以期为地铁网络安全运营提供参考.
Cascading failure model on directed weighted network of urban subway
To reduce the destructive impact of cascading failure phenomenon on urban subway networks,the critical nodes and cascading failure phenomenon in subway network were studied based on the complex network theory. A topological struc-ture model of subway network was constructed by using the Space-L method. The evaluation indexes of key stations were pro-posed,and the key stations in the network were identified by using the entropy-weight TOPSIS method. A cascading failure model was constructed,and two load distribution strategies considering the directionality of lines and the importance of nodes were put forward. The influence of different attack strategies and load distribution strategies on the network invulnerability was analyzed,and the simulation analysis was conducted using the subway network in a city as a case. The results show that the key nodes of a city subway are mainly the transfer nodes and central nodes in the network. Under both random and intentional attack modes,when the node importance weight is set to a larger value,the descending range and descending speed in network efficiency and the maximum connectivity are lower,and redistributing the load according to the node importance can reduce the descending speed of network performance indexes. The research results can expand the research ideas of cascading fail-ure,so as to provide reference for the safe operation of subway networks.

urban rail transitcomplex networkcritical nodecascading failureinvulnerability

霍非舟、曲方新、马亚萍、胡宸希、姜淑轶

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武汉理工大学中国应急管理研究中心,湖北武汉 430070

武汉理工大学安全科学与应急管理学院,湖北武汉 430070

城市轨道交通 复杂网络 关键节点 级联失效 抗毁性

2024

中国安全生产科学技术
中国安全生产科学研究院

中国安全生产科学技术

CSTPCD北大核心
影响因子:1.119
ISSN:1673-193X
年,卷(期):2024.20(12)