为准确识别城市轨道交通的关键站点和区段，基于改进介数方法，进一步考虑乘客出行路径选择偏好和不同站点区段运输流量特征，对轨道交通网络中所有起点-终点（origin destination, OD）对之间满足给定约束条件的合适路径进一步区分提出了加权改进介数。即，在计算节点或链接出现在网络中所有OD对合适路径的次数时，分别对长度更短、客流量更大的合适路径赋更高的介数权重，克服了改进介数方法等同对待这些合适路径的缺陷。之后，以北京轨道交通网络为例开展仿真案例验证研究。结果表明：加权改进介数方法能够为识别城市轨道交通网络的关键站点和区段提供新的有用信息；为了提高识别的准确性，需运用传统方法和加权改进介数等方法综合分析。可见，该方法使得识别结果更加真实可信。

In order to accurately identify the key stations and sections of urban rail transit, based on the improved betweenness method, and further considering the preference of passengers' travel path selection and the characteristics of transport flow in different stations and sections, a weighted improved betweenness was proposed to further distinguish the appropriate paths between all origin destination (OD) pairs in the rail transit network that met the given constraints. That is, when calculating the number of times that nodes or links appeared in all OD pairs of appropriate paths in the network, higher betweenness weights were assigned to the appropriate paths with shorter length and larger passenger flow, which overcame the defect that the improved betweenness method treats these appropriate paths equally. After that, a simulation case study was carried out with Beijing rail transit network as an example. The results show that the weighted improved betweenness method can provide new useful information for identifying the key stations and sections of urban rail transit network. In order to improve the accuracy of recognition, it is necessary to use traditional methods and weighted improved betweenness and other methods for comprehensive analysis. This suggests that the method makes the recognition result more authentic and credible.