TY - JOUR
T1 - Identifying Critical Stations Affecting Vulnerability of a Metro Network Considering Passenger Flow and Cascading Failure
T2 - Case of Xi'an Metro in China
AU - Ma, Zhuanglin
AU - Liu, Jie
AU - Chien, Steven I.Jy
AU - Hu, Xuefei
AU - Shao, Yiheng
N1 - Funding Information:
This study is jointly supported by (1) Humanities and Social Science Research Project of the Ministry of Education, China (No. 18YJCZH130); (2) the Nature Science Basic Research Program of Shaanxi Province, China (No. 2021JZ-20); (3) the Opening Foundation of Key Laboratory of Advanced Public Transportation Science (No. 2022-APTS-05); and (4) the Fundamental Research Funds for the Central Universities, CHD, China (No. 300102229304).
Publisher Copyright:
© 2023 American Society of Civil Engineers.
PY - 2023/6/1
Y1 - 2023/6/1
N2 - Analyzing the importance grade of each metro station is the premise and foundation to ensure the safe and efficient operation of the metro network. This paper explores the identification method of critical stations in the metro network on the basis of considering the influence of passenger flow. Eight indicators were selected from both the static and dynamic aspects to construct the critical station identification index system considering the impact of passenger flow and cascading failure. Then, the triangular fuzzy analytic hierarchy process (TFAHP) method and critical importance through intercriteria correlation (CRITIC) method were used to calculate subjective and objective weight of all indicators, and the combined weighting method based on game theory was applied to calculate the comprehensive weight. The improved technique for order of preference by similarity to ideal solution (TOPSIS) method was developed to calculate the station importance and rank all stations according to their importance. Finally, the Xi'an metro network by mid-2021 was taken as the case study. The results show that there are 21 critical stations in the Xi'an metro network in three time periods (i.e., morning rush hours, evening rush hours, and nonrush hours) on weekdays and weekends, respectively, and those critical stations are divided into three levels. High centrality, high passenger flow intensity, and strong destructive ability are three important characteristics of critical stations in the metro network, and different critical stations have different importance characteristics. The Xi'an metro operation management authority needs to conduct a classification management scheme for those critical stations. The conclusions can provide the basis for the metro operation management authority to formulate accurate station management scheme, so as to increase the robustness of the metro network.
AB - Analyzing the importance grade of each metro station is the premise and foundation to ensure the safe and efficient operation of the metro network. This paper explores the identification method of critical stations in the metro network on the basis of considering the influence of passenger flow. Eight indicators were selected from both the static and dynamic aspects to construct the critical station identification index system considering the impact of passenger flow and cascading failure. Then, the triangular fuzzy analytic hierarchy process (TFAHP) method and critical importance through intercriteria correlation (CRITIC) method were used to calculate subjective and objective weight of all indicators, and the combined weighting method based on game theory was applied to calculate the comprehensive weight. The improved technique for order of preference by similarity to ideal solution (TOPSIS) method was developed to calculate the station importance and rank all stations according to their importance. Finally, the Xi'an metro network by mid-2021 was taken as the case study. The results show that there are 21 critical stations in the Xi'an metro network in three time periods (i.e., morning rush hours, evening rush hours, and nonrush hours) on weekdays and weekends, respectively, and those critical stations are divided into three levels. High centrality, high passenger flow intensity, and strong destructive ability are three important characteristics of critical stations in the metro network, and different critical stations have different importance characteristics. The Xi'an metro operation management authority needs to conduct a classification management scheme for those critical stations. The conclusions can provide the basis for the metro operation management authority to formulate accurate station management scheme, so as to increase the robustness of the metro network.
KW - Cascading failure
KW - Combined weight method
KW - Critical station identification
KW - Improved technique for order of preference by similarity to ideal solution (TOPSIS) method
KW - Metro network
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U2 - 10.1061/AJRUA6.RUENG-1013
DO - 10.1061/AJRUA6.RUENG-1013
M3 - Article
AN - SCOPUS:85151680314
SN - 2376-7642
VL - 9
JO - ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
JF - ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
IS - 2
M1 - 04023014
ER -