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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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    6. 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).
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    9. 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.
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    11. 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.
    12. Duy Q. Nguyen-Phuoc & William Young & Graham Currie & Chris Gruyter, 2020. "Traffic congestion relief associated with public transport: state-of-the-art," Public Transport, Springer, vol. 12(2), pages 455-481, June.
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    14. 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.
    15. 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.
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