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Transit system resilience: Quantifying the impacts of disruptions on diverse populations

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  • Vodopivec, Neža
  • Miller-Hooks, Elise

Abstract

The resilience of a community to disruptions in a public transportation system depends not only on the technical system's ability to maintain service levels, but also on the ability of individuals to cope with and adapt to disruptions. This paper proposes a reliability-based methodology for conceptualizing and evaluating resilience of a socio-technical system in the context of diverse populations of passengers who experience the system differently, but share its resources. Considering a transit network as a socio-technical system induces coupling with other technical systems, such as communication networks and other transportation modes, which support user adaptability in disruption. Extending concepts from fault trees and binary decision diagrams (BDDs), a multi-valued dependency graph framework is developed and used to quantify the resilience of the system. Various notions of resilience are explored. Techniques for identifying which mechanisms, whether technically or socially driven, are critical to the resilience of each population are discussed. Sensitivity to various factors through the study of improvement potential provides practical insight into policies and technical improvements that can increase system or user resilience.

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  • Vodopivec, Neža & Miller-Hooks, Elise, 2019. "Transit system resilience: Quantifying the impacts of disruptions on diverse populations," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    • Handle: RePEc:eee:reensy:v:191:y:2019:i:c:s0951832018309797
    DOI: 10.1016/j.ress.2019.106561
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    References listed on IDEAS

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    Cited by:

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    4. Tang, Junqing & Xu, Lei & Luo, Chunling & Ng, Tsan Sheng Adam, 2021. "Multi-disruption resilience assessment of rail transit systems with optimized commuter flows," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    5. Liu, Enze & Barker, Kash & Chen, Hong, 2022. "A multi-modal evacuation-based response strategy for mitigating disruption in an intercity railway system," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    6. Gangwal, Utkarsh & Dong, Shangjia, 2022. "Critical facility accessibility rapid failure early-warning detection and redundancy mapping in urban flooding," Reliability Engineering and System Safety, Elsevier, vol. 224(C).
    7. Zhang, Zhenyu & Ji, Tingting & Wei, Hsi-Hsien, 2022. "Dynamic emergency inspection routing and restoration scheduling to enhance the post-earthquake resilience of a highway–bridge network," Reliability Engineering and System Safety, Elsevier, vol. 220(C).
    8. Liping Ge & Stefan Voß & Lin Xie, 2022. "Robustness and disturbances in public transport," Public Transport, Springer, vol. 14(1), pages 191-261, March.
    9. 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).
    10. Zhen, Lu & Lin, Shumin & Zhou, Chenhao, 2022. "Green port oriented resilience improvement for traffic-power coupled networks," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    11. Liang, Shidong & He, Shengxue & Zhang, Hu & Ma, Minghui, 2021. "Optimal holding time calculation algorithm to improve the reliability of high frequency bus route considering the bus capacity constraint," Reliability Engineering and System Safety, Elsevier, vol. 212(C).

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