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Robustness assessments of urban rail transit networks based on user equilibrium with time compensation mechanism

Jianhua Zhang, Wenchao Shao, Liqiang Yang, Xun Zhao and Weizhi Liu

Physica A: Statistical Mechanics and its Applications, 2023, vol. 613, issue C

Abstract: Urban rail transit has become an important mode of urban public transportation and has been paid more attention in the past two decades due to the advantages of low pollution and high efficiency. However, traffic incidents frequently occur in urban rail transit, therefore the robustness must be investigated to improve operation safety. In this paper, the user equilibrium with time compensation mechanism is adopted to study the robustness of urban rail transit networks (URTNs) subjected to failures, and Shanghai metro network is considered as an example to prove the feasibility and effectiveness of the proposed scheme. Meanwhile, the average travel time, the average link-flow and the demand–supply ratio are used to assess the characteristic changes of URTNs subjected to three attack modes. Moreover, the critical nodes and links can be discovered based on the proposed model, and the attacks to these critical nodes and links can greatly decrease the robustness of URTNs. The simulation results show that URTNs have better robustness when suffering the node attack and the link-demand attack and possess worse robustness when suffering the overall-demand attack, and we find that the uneven distribution of passenger flow results in the low network utilization.

Keywords: Robustness assessments; User equilibrium; Time compensation mechanism; Urban rail transit networks (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:613:y:2023:i:c:s0378437123000857

DOI: 10.1016/j.physa.2023.128530

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