基于重要度贡献矩阵的城市轨道交通网络关键节点识别  

Identification of Key Nodes in Urban Rail Transit Network Based on Importance Contribution Matrix

作　　者：徐杭 刘苏[1] 王琳[1] XU Hang;LIU Su;WANG Lin(School of Transportation and Logistics,Southwest Jiaotong University,Chengdu 611756,China)

机构地区：[1]西南交通大学交通运输与物流学院,成都611756

出　　处：《综合运输》2023年第1期58-63,共6页China Transportation Review

摘　　要：关键节点识别对城市轨道交通系统可靠性的提高具有重要作用。针对当前节点关键节点识别方法无法对网络中节点综合属性进行评价的不足,本文综合考虑基于传输效率的重要度贡献矩阵以及节点的介数和度构成的节点综合特征指标,构建节点重要度评价矩阵,提出了城市轨道交通网络关键节点识别方法。以成都轨道交通为例构建拓扑网络并进行关键节点识别,对识别出的30个关键节点的重要度评价结果进行分析,本文方法克服了单一指标无法判断节点重要度的缺点,并与既有方法做连锁故障仿真对比,结果表明本文方法下的网络效率下降得更快,验证了方法的有效性。The identification of key nodes is necessary, which plays an important role in improving urban rail transit network reliability. The current method for identifying key nodes can not evaluate the comprehensive property of nodes in network. A new method for identifying key nodes in urban rail transit network is proposed. This paper considers the node importance contribution matrix based on transmission efficiency and the node comprehensive characteristic index composed of degree and node betweenness, then constructs the node importance evaluation matrix. Chengdu metro is used as a sample to build the network topology and recognize key nodes. The importance evaluation results of 30 key nodes are analyzed. This method overcomes the disadvantage that a single index cannot judge the importance of nodes. Compared with other studies, the results suggest: the network efficiency under this method decreases faster. The results verify that this method is valid.

关 键 词：城市轨道交通 复杂网络 关键节点 重要度贡献 综合指标 

分 类 号：U231[交通运输工程—道路与铁道工程]