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Metro service disruptions: how do people choose to travel?

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  • Anastasia Pnevmatikou
  • Matthew Karlaftis
  • Konstantinos Kepaptsoglou

Abstract

While metro disruptions can have a significant impact to the travel patterns and behavior of users, research on that topic has been limited. Using Athens, Greece, as a study case, this paper combines information on traveler experiences and perceptions and attempts to model mode choice during a long-run metro service disruption. A Nested Logit (NL) approach for jointly analyzing RP/SP data is applied and compared to individual RP and SP based MNL models. Findings suggest that the propensity to shift to buses or cars in such cases depends—to a large extent—on the travelers’ available income. Also, the possibility of a flexible work schedule is negatively correlated with the choice of using a car during metro closures. Finally, the overall performance of the joint RP/SP Nested Logit model has been found to be superior to that of the joint RP/SP MNL model. Copyright Springer Science+Business Media New York 2015

Suggested Citation

  • Anastasia Pnevmatikou & Matthew Karlaftis & Konstantinos Kepaptsoglou, 2015. "Metro service disruptions: how do people choose to travel?," Transportation, Springer, vol. 42(6), pages 933-949, November.
    • Handle: RePEc:kap:transp:v:42:y:2015:i:6:p:933-949
    DOI: 10.1007/s11116-015-9656-4
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    References listed on IDEAS

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    Cited by:

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    2. Younes, Hannah & Nasri, Arefeh & Baiocchi, Giovanni & Zhang, Lei, 2019. "How transit service closures influence bikesharing demand; lessons learned from SafeTrack project in Washington, D.C. metropolitan area," Journal of Transport Geography, Elsevier, vol. 76(C), pages 83-92.
    3. Sarker, Rumana Islam & Kaplan, Sigal & Mailer, Markus & Timmermans, Harry J.P., 2019. "Applying affective event theory to explain transit users’ reactions to service disruptions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 593-605.
    4. Li, Binbin & Yao, Enjian & Yamamoto, Toshiyuki & Tang, Ying & Liu, Shasha, 2020. "Exploring behavioral heterogeneities of metro passenger’s travel plan choice under unplanned service disruption with uncertainty," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 294-306.
    5. 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).
    6. Elisa Borowski & Jason Soria & Joseph Schofer & Amanda Stathopoulos, 2020. "Disparities in ridesourcing demand for mobility resilience: A multilevel analysis of neighborhood effects in Chicago, Illinois," Papers 2010.15889, arXiv.org.
    7. Nguyen-Phuoc, Duy Q. & Currie, Graham & De Gruyter, Chris & Young, William, 2018. "Transit user reactions to major service withdrawal – A behavioural study," Transport Policy, Elsevier, vol. 64(C), pages 29-37.
    8. Ha, Jaehyun & Lee, Sugie & Ko, Joonho, 2020. "Unraveling the impact of travel time, cost, and transit burdens on commute mode choice for different income and age groups," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 147-166.
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    10. Liu, Rick & Palm, Matthew & Shalaby, Amer & Farber, Steven, 2020. "A social equity lens on bus bridging and ride-hailing responses to unplanned subway disruptions," Journal of Transport Geography, Elsevier, vol. 88(C).
    11. Parkes, Stephen D. & Jopson, Ann & Marsden, Greg, 2016. "Understanding travel behaviour change during mega-events: Lessons from the London 2012 Games," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 104-119.
    12. Kopsidas, Athanasios & Kepaptsoglou, Konstantinos, 2022. "Identification of critical stations in a Metro System: A substitute complex network analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 596(C).
    13. Lin, Teddy & Shalaby, Amer & Miller, Eric, 2016. "Transit User Behaviour in Response to Service Disruption: State of Knowledge," 57th Transportation Research Forum (51st CTRF) Joint Conference, Toronto, Ontario, May 1-4, 2016 319263, Transportation Research Forum.
    14. Joshua Auld & Hubert Ley & Omer Verbas & Nima Golshani & Josiane Bechara & Angela Fontes, 2020. "A stated-preference intercept survey of transit-rider response to service disruptions," Public Transport, Springer, vol. 12(3), pages 557-585, October.
    15. Nima Golshani & Ehsan Rahimi & Ramin Shabanpour & Kouros Mohammadian & Joshua Auld & Hubert Ley, 2020. "Passengers' Travel Behavior in Response to Unplanned Transit Disruptions," Papers 2001.01718, arXiv.org, revised Jul 2020.
    16. Spyropoulou, Ioanna, 2020. "Impact of public transport strikes on the road network: The case of Athens," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 651-665.

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