随着高速铁路蓬勃发展,其安全可靠性受到高度重视,关键车站的识别是提高路网可靠性的重要部分.在复杂网络和社会网络分析理论基础上,综合考虑车站在路网中的拓扑结构重要性和运输组织中车站间车流强度,建立高速铁路车流网模型,计算网络中节点强度、节点接近中心度以及中介中心度,并采用TOPSIS法确定综合评价指标,提出一种关键车站识别方法,以我国高速铁路网络为实例验证该方法的可靠性.实例验证不仅识别出省会车站,而且选出了规模不大但处于关键位置影响全网运输服务能力的车站.研究结果可为高速铁路日常维护和故障恢复提供参考.%The safety and reliability of high-speed railway have been highly valued with the rapid development. Identification of key stations is an important part of improving railway network reliability. The model of high speed railway traffic flow network was established combining the topological structure importance of stations with train intensity based on complex network and social network theory. The traffic intensity, traffic closeness centrality and traffic betweenness centrality of nodes were calculated and the comprehensive evaluation index was determined with TOPSIS method. Then a key station identification method was proposed. The high-speed railway network in China was used as an example to prove that the reliability of the method. The example identifies not only the provincial capital stations, but also the stations with small scale but critical position affecting the whole network transportation service capacity. The results can provide a reference for daily maintenance and fault recovery of high speed railway.
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