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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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    1. van Exel, N.J.A. & Rietveld, P., 2009. "When strike comes to town... anticipated and actual behavioural reactions to a one-day, pre-announced, complete rail strike in the Netherlands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(5), pages 526-535, June.
    2. Dhar, Ravi, 1997. "Consumer Preference for a No-Choice Option," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 24(2), pages 215-231, September.
    3. van Exel, N. Job A. & Rietveld, Piet, 2001. "Public transport strikes and traveller behaviour," Transport Policy, Elsevier, vol. 8(4), pages 237-246, October.
    4. Bhat, Chandra R., 1995. "A heteroscedastic extreme value model of intercity travel mode choice," Transportation Research Part B: Methodological, Elsevier, vol. 29(6), pages 471-483, December.
    5. Lo, Shih-Che & Hall, Randolph W., 2006. "Effects of the Los Angeles transit strike on highway congestion," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(10), pages 903-917, December.
    6. Florian Heiss, 2002. "Structural choice analysis with nested logit models," Stata Journal, StataCorp LP, vol. 2(3), pages 227-252, August.
    7. Bhat, Chandra R., 1998. "Accommodating flexible substitution patterns in multi-dimensional choice modeling: formulation and application to travel mode and departure time choice," Transportation Research Part B: Methodological, Elsevier, vol. 32(7), pages 455-466, September.
    8. Shanjiang Zhu & Nebiyou Tilahun & Xiaozheng He & David M. Levinson, 2012. "Travel Impacts and Adjustment Strategies of the Collapse and the Reopening of the I-35W Bridge," Transportation Research, Economics and Policy, in: David M. Levinson & Henry X. Liu & Michael Bell (ed.), Network Reliability in Practice, edition 1, chapter 0, pages 21-36, Springer.
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    Cited by:

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    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.
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    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.
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    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. He, Sylvia Y. & Tao, Sui & Sun, Ka Kit, 2024. "Attitudes towards public transport under extended disruptions and massive-scale transit dysfunction: A Hong Kong case study," Transport Policy, Elsevier, vol. 149(C), pages 247-258.
    16. 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.
    17. 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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