Transportation

, Volume 42, Issue 6, pp 933–949 | Cite as

Metro service disruptions: how do people choose to travel?

Article

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.

Keywords

Metro disruptions Travel behaviour Joint RP/SP Nested Logit model 

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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.Department of Transportation Planning and Engineering, School of Civil EngineeringNational Technical University of AthensAthensGreece
  2. 2.School of Rural and Surveying EngineeringNational Technical University of AthensAthensGreece

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