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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. Liping Ge & Stefan Voß & Lin Xie, 2022. "Robustness and disturbances in public transport," Public Transport, Springer, vol. 14(1), pages 191-261, March.
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    6. 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).
    7. 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).
    8. Liang, Shidong & Zhang, Hu & Fang, Zhiming & He, Shengxue & Zhao, Jing & Leng, Rongmeng & Ma, Minghui, 2022. "Optimal control to improve reliability of demand responsive transport priority at signalized intersections considering the stochastic process," Reliability Engineering and System Safety, Elsevier, vol. 218(PB).
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