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Bridging strategy for the disruption of metro considering the reliability of transportation system: Metro and conventional bus network

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  • Zheng, Shuai
  • Liu, Yugang
  • Lin, Yexin
  • Wang, Qiang
  • Yang, Hongtai
  • Chen, Bin

Abstract

With the frequent occurrence of metro disruption, how to guarantee the reliability of the system has gradually become a research hotspot. Previous studies mostly used the bridging bus to maintain the service level, and ignored the experience of passengers, the reliability of conventional bus system, the heterogeneity of passenger and underutilized the capacity. Hence, to deal with the deficiencies, a comprehensive bridging strategy is proposed to balance the benefit of stranded metro passengers and conventional bus passengers considering the dynamic changes in passenger demand. We develop a tailor-made integration framework for operators, dispatch bridging buses from multiple alternative sources, and design two operated access methods: Station-Station docking method and demand-responsive method to satisfy the heterogeneity of passenger. A bi-level programming model is established to describe the strategy and to determine operation scheme. And then, a two-layer multi-objective genetic algorithm is used to solve the bi-level model. A case study is conducted based on the real case of Guangzhou Metro disruption in 2019. The superiority of the proposed strategy over the two benchmark strategies is demonstrated by the results. Notably, the study provides some suitable and operable evacuation strategy for transit operators to guarantee residents’ daily travel plan with the sensitivity analysis.

Suggested Citation

  • Zheng, Shuai & Liu, Yugang & Lin, Yexin & Wang, Qiang & Yang, Hongtai & Chen, Bin, 2022. "Bridging strategy for the disruption of metro considering the reliability of transportation system: Metro and conventional bus network," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    • Handle: RePEc:eee:reensy:v:225:y:2022:i:c:s0951832022002319
    DOI: 10.1016/j.ress.2022.108585
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