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Resilience Assessment of an Urban Rail Transit Network under Short-Term Operational Disturbances

Journal Article


Abstract


  • Operational disturbances within 30 min, namely, short-term operational disturbances (STODs), occur frequently during the daily operation of an urban rail transit (URT) system. Therefore, there is an urgent need to assess a network's ability to respond to STODs to improve its operational level. The resilience of a URT network jointly considering turn-back operations, the occurrence time of STODs, and passenger travel experience is addressed. By considering passenger travel alternatives under STODs, we assessed the resilience of a network by utilizing the ratio of the average loss of a time-dependent performance indicator, which is referred to as the operational service level indicator in this paper. A simulation-based resilience assessment flowchart is also proposed. Numerical experiments conducted on the Chengdu subway network indicate that this network is more resilient to successive station failure than to simultaneous failure. Guaranteeing the normal operation of transfer stations is vital for enhancing the resilience of a network. The metric proposed in this paper is more practical for assessing resilience than the two commonly used metrics (performance loss and disturbance duration). Additionally, the experimental results highlight that turn-back operations at the stations have a significant impact on the resilience of a URT network. The sensitivity analysis of the parameters indicates that ensuring the normal operation of links connected by critical stations, preventing large-scale station failure, improving passenger tolerance to disturbance durations, and restoring the connectivity of disrupted links rapidly have practical significance for enhancing the resilience of a network.

Publication Date


  • 2022

Citation


  • Chen, J., Liu, J., Du, B., Peng, Q., & Yin, Y. (2022). Resilience Assessment of an Urban Rail Transit Network under Short-Term Operational Disturbances. IEEE Transactions on Intelligent Transportation Systems, 23(12), 24841-24853. doi:10.1109/TITS.2022.3195937

Scopus Eid


  • 2-s2.0-85136906628

Start Page


  • 24841

End Page


  • 24853

Volume


  • 23

Issue


  • 12

Place Of Publication


Abstract


  • Operational disturbances within 30 min, namely, short-term operational disturbances (STODs), occur frequently during the daily operation of an urban rail transit (URT) system. Therefore, there is an urgent need to assess a network's ability to respond to STODs to improve its operational level. The resilience of a URT network jointly considering turn-back operations, the occurrence time of STODs, and passenger travel experience is addressed. By considering passenger travel alternatives under STODs, we assessed the resilience of a network by utilizing the ratio of the average loss of a time-dependent performance indicator, which is referred to as the operational service level indicator in this paper. A simulation-based resilience assessment flowchart is also proposed. Numerical experiments conducted on the Chengdu subway network indicate that this network is more resilient to successive station failure than to simultaneous failure. Guaranteeing the normal operation of transfer stations is vital for enhancing the resilience of a network. The metric proposed in this paper is more practical for assessing resilience than the two commonly used metrics (performance loss and disturbance duration). Additionally, the experimental results highlight that turn-back operations at the stations have a significant impact on the resilience of a URT network. The sensitivity analysis of the parameters indicates that ensuring the normal operation of links connected by critical stations, preventing large-scale station failure, improving passenger tolerance to disturbance durations, and restoring the connectivity of disrupted links rapidly have practical significance for enhancing the resilience of a network.

Publication Date


  • 2022

Citation


  • Chen, J., Liu, J., Du, B., Peng, Q., & Yin, Y. (2022). Resilience Assessment of an Urban Rail Transit Network under Short-Term Operational Disturbances. IEEE Transactions on Intelligent Transportation Systems, 23(12), 24841-24853. doi:10.1109/TITS.2022.3195937

Scopus Eid


  • 2-s2.0-85136906628

Start Page


  • 24841

End Page


  • 24853

Volume


  • 23

Issue


  • 12

Place Of Publication