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Recovery time and propagation effects of passenger transport disruptions

Author

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  • Malandri, Caterina
  • Fonzone, Achille
  • Cats, Oded

Abstract

We propose a method to evaluate public transport network vulnerability. We study the evolution of the passenger Volume Over Capacity (VOC) ratio throughout the network to measure the spatial and temporal extent of the impacts caused by an unplanned service segment disruption. The VOC ratio provides an indication of the on-board travel comfort, an important level-of-service indicator, as well as reflects the residual capacity for absorbing additional demand. Because of the dynamic nature of public transport systems, disturbances propagate through the network in both time and space. Our modelling approach is able to capture transit system dynamics and quantify the extent to which the network exhibits spillover effects. We apply the method to the case of the rapid public transport system of Stockholm Sweden We demonstrate how the changes in network saturation and the corresponding recovery time can be quantified.

Suggested Citation

  • Malandri, Caterina & Fonzone, Achille & Cats, Oded, 2018. "Recovery time and propagation effects of passenger transport disruptions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 7-17.
    • Handle: RePEc:eee:phsmap:v:505:y:2018:i:c:p:7-17
    DOI: 10.1016/j.physa.2018.03.028
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Menno Yap & Oded Cats, 2021. "Predicting disruptions and their passenger delay impacts for public transport stops," Transportation, Springer, vol. 48(4), pages 1703-1731, August.
    2. Jaime Santos-Reyes & Diego Padilla-Perez & Alan N Beard, 2019. "Transport Infrastructure Interdependency: Metro’s Failure Propagation in the Road Transport System in Mexico City," Sustainability, MDPI, vol. 11(17), pages 1-24, August.
    3. Chen, Jinqu & Liu, Jie & Peng, Qiyuan & Yin, Yong, 2022. "Resilience assessment of an urban rail transit network: A case study of Chengdu subway," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 586(C).
    4. Liping Ge & Stefan Voß & Lin Xie, 2022. "Robustness and disturbances in public transport," Public Transport, Springer, vol. 14(1), pages 191-261, March.
    5. Ermagun, Alireza & Tajik, Nazanin & Janatabadi, Fatemeh & Mahmassani, Hani, 2023. "Uncertainty in vulnerability of metro transit networks: A global perspective," Journal of Transport Geography, Elsevier, vol. 113(C).
    6. Leng, Nuannuan & Corman, Francesco, 2020. "The role of information availability to passengers in public transport disruptions: An agent-based simulation approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 214-236.
    7. Caterina Malandri & Luca Mantecchini & Filippo Paganelli & Maria Nadia Postorino, 2021. "Public Transport Network Vulnerability and Delay Distribution among Travelers," Sustainability, MDPI, vol. 13(16), pages 1-14, August.
    8. Knoester, Max J. & Bešinović, Nikola & Afghari, Amir Pooyan & Goverde, Rob M.P. & van Egmond, Jochen, 2024. "A data-driven approach for quantifying the resilience of railway networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    9. Cats, Oded & Krishnakumari, Panchamy, 2020. "Metropolitan rail network robustness," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 549(C).
    10. Malandri, Caterina & Mantecchini, Luca & Postorino, Maria Nadia, 2023. "A comprehensive approach to assess transportation system resilience towards disruptive events. Case study on airside airport systems," Transport Policy, Elsevier, vol. 139(C), pages 109-122.
    11. Kashin Sugishita & Yasuo Asakura, 2021. "Vulnerability studies in the fields of transportation and complex networks: a citation network analysis," Public Transport, Springer, vol. 13(1), pages 1-34, March.
    12. Chan, Ho-Yin & Chen, Anthony & Li, Guoyuan & Xu, Xiangdong & Lam, William, 2021. "Evaluating the value of new metro lines using route diversity measures: The case of Hong Kong's Mass Transit Railway system," Journal of Transport Geography, Elsevier, vol. 91(C).
    13. Cats, Oded & Hijner, Anne Mijntje, 2021. "Quantifying the cascading effects of passenger delays," Reliability Engineering and System Safety, Elsevier, vol. 212(C).

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