Abstract：The urban rail transit station is an important place where the passengers gather and distribute. It plays an essential role in connecting sections in a subway network. How to effectively evaluate the influence of the stations on the network is a key point to study the network structure optimization and the operation risk reduction. Based on complex network theory, this paper established a passenger flow assignment model for the urban rail transit network. Utilizing the passenger flow data from smart cards, a concentration index of passenger flow in station and three centrality indexes of network were proposed to identify the critical stations in the network. Finally, by applying this method to the Beijing subway network, we verified its validity and it can recognize the key stations successfully. Further, we systematically analyzed the current situation of the passenger flow during rush hours of Beijing subway, and put forward some suggestions for the subway network operation.
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