Metro service disruptions: how do people choose to travel?

Anastasia Pnevmatikou (), Matthew Karlaftis () and Konstantinos Kepaptsoglou ()

Transportation, 2015, vol. 42, issue 6, 933-949

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

Keywords: Metro disruptions; Travel behaviour; Joint RP/SP Nested Logit model (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (18)

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DOI: 10.1007/s11116-015-9656-4

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