Industrial Engineering Journal ›› 2023, Vol. 26 ›› Issue (3): 168-174.doi: 10.3969/j.issn.1007-7375.2023.03.019

• System Modeling & Optimization Algorithm • Previous Articles    

A Method of Identifying Critical Stations for Urban Rail Transit under Bidirectional Interruptions

HU Junhong, ZHANG Wenjie, TANG Rui, WEN Chengwei   

  1. School of Transportation Engineering, Nanjing Tech University, Nanjing 211816, China
  • Received:2022-10-29 Published:2023-07-08

Abstract: Since the existing methods of identifying critical stations for urban rail transit networks seldom consider the process of train operation interchange adjustment in the situation of bidirectional disruptions, a critical station identification method of urban rail transit networks under bidirectional disruptions is proposed. Assuming that the station failure situation is a bidirectional disruption of operation, the node failure range is determined based on the distribution of turnback stations in the network. Evaluation indicators are selected from three aspects: network connectivity, network topology and station attributes, while the importance of urban rail transit network stations is comprehensively evaluated by TOPSIS. The metro network in Chengdu system is selected as an example to identify the critical stations. Results show that the critical stations of Chengdu metro network are mainly distributed in the interchange stations where the ring line and the ray line intersect. The importance of some non-interchange stations in the identification results is increased due to the inclusion of other important stations in the turnback section. The proposed method can identify some stations that are easily ignored by the original node removal method, making the evaluation results more realistic.

Key words: urban rail transit network, critical stations, complex network, bidirectional interruption, TOPSIS (technique for order preference by similarity to an ideal solution)

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