基于复杂网络理论的广州轨道交通网络可靠性研究

城市轨道交通网络是由轨道线路和车站组成的复杂网络，利用复杂网络理论探讨轨道线网的可靠性对提升其可达性和运营效率有重要意义. 采用space L方法对广州轨道交通网络进行了拓扑建模，计算分析了节点度、聚类系数、平均路径长度等指标及其分布规律，并重点研究了换乘车站故障情况下整个轨道交通网络受影响程度及可靠性. 结果表明，现阶段广州轨道交通网络呈现随机网络的特征，换乘车站发生运营故障将严重影响网络中的较长距离出行，降低轨道交通网络的客流吸引度，广州轨道交通网络在换乘车站故障后其全局效率降低，局部效率不变，车站之间的紧密程度较差.

Reliability Analysis of Guangzhou Rail Transit with Complex Network Theory

Urban rail transit network can be regarded as a complex network consisting of stations and lines. Exploring connectivity of rail transit network by complex network theory has certain significance on its accessibility and operation efficiency improvement. Topology of Guangzhou rail transit network was made by space L method, and the value and distribution of the network’s degree, clustering coefficient, and average shortest way length are then computed and analyzed. The influencing degree and reliability of the network are discussed under the situation that the transfer station with malfunction. The results indicate that a random-network characteristic is shown by the current rail transit of Guangzhou, and the malfunction of transfer stations significantly influences the long distance trip, which decreases the passenger attraction of the rail transit. With the malfunction of a transfer station, the overall efficiency of Guangzhou rail transit network is reduced, the local efficiency stays the same, while most of the stations have weaker connectivity.