Volume 41 Issue 4
Aug.  2023
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Article Navigation >  Journal of Transport Information and Safety  > 2023  >  41(4): 173-184
CHENG Jing, LU Qun, WU Tongzheng, WANG Yuanqing. A Method for Evaluating Recovery Strategies for Cascade Failures of Metro Networks[J]. Journal of Transport Information and Safety, 2023, 41(4): 173-184. doi: 10.3963/j.jssn.1674-4861.2023.04.018
Citation: CHENG Jing, LU Qun, WU Tongzheng, WANG Yuanqing. A Method for Evaluating Recovery Strategies for Cascade Failures of Metro Networks[J]. Journal of Transport Information and Safety, 2023, 41(4): 173-184. doi: 10.3963/j.jssn.1674-4861.2023.04.018
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A Method for Evaluating Recovery Strategies for Cascade Failures of Metro Networks

doi: 10.3963/j.jssn.1674-4861.2023.04.018
  • 1.

    Collge of Transportation Engineering, Chang'an University, Xi'an 710064, China

  • 2.

    School of Highway, Chang'an University, Xi'an 710064, China

  • Received Date: 2022-11-12
    Available Online: 2023-11-23
    Abstract
  • The effectiveness of recovery strategies plays a vital role in emergency response after cascading failures take place in a metro network, which is closely related to its operation safety. To address the cascading failures in metro networks, a method for evaluating the efficiency of recovery strategies is proposed from a system resilience perspective. A function for allocating recovery nodes is established based on the characteristics of the distribution of passenger flows at metro stations. And a model of network cascade failure with recovery strategy is developed by integrating the recovery strategy into the cascade failure process. Then, network efficiency and connectivity are used to characterize system functionality, and a system functionality curve is introduced to quantify system resilience. The effectiveness of three recovery strategies, including random recovery, importance priority recovery, and degree priority recovery, are evaluated through Python simulations which are carried out based on the metro network in the city of Xi'an. The results indicate that increasing the node recovery ratio enhances the efficacy of recovery strategies in a singular strategy effectiveness assessment. This enhancement manifests as a reduction in system damage during the resistance and recovery phases, accompanied by an accelerated recovery rate. By comparing different strategies, the strategy of importance priority recovery outperforms the degree priority recovery and the random recovery. Two resilience indicators of the importance priority recovery are 11.9% and 3.4% greater than degree priority recovery, respectively; and 7.6% and 1.2% greater than random recovery, respectively. Compared to traditional models, the proposed model exhibits better goodness of fit for the speed of propagation failure, change of system performance, and process of actual traffic cascading failure. It suggests that under the influence of cascading failures in metro networks, better recovery results can be achieved by adopting an importance priority recovery strategy and increasing node recovery proportion. The simulation results accurately represent the impact of depict disturbance on system performance, aiding decision-making for preventing and recovering from cascading failures in metro networks.

     

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