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Applying affective event theory to explain transit users’ reactions to service disruptions

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  • Sarker, Rumana Islam
  • Kaplan, Sigal
  • Mailer, Markus
  • Timmermans, Harry J.P.

Abstract

Transit systems are complex open systems susceptible to service disruptions due to a variety of operational and infrastructure failures. Demand-side transit user reactions form an important part of system resilience. This study proposes Affective Events Theory (AET) to understand transit users’ frustration and behavioral reaction to service disruptions. The behavioral reactions are structured in accordance with Hirschman’s Exit-Voice-Loyalty framework. While service disruptions can cause passenger frustration, the behavioral response varies from complaints (voiced) to avoiding transit use on the next trip (exit), and continue as usual (loyalty). The collected data is a representative sample of 1629 transit users from Innsbruck (Austria). Exploratory factor analysis followed by an estimation of a structural equation model served to validate the model framework. Better network coverage, service quality, and personnel behavior mitigate the frustration of transit users upon event occurence. Higher transit user frustration is related to a higher frequency of service disruptions. Higher frustration is related to more complaints (voiced). However, the tendency to complain is associated with lower, reduced transit use on the next trip (exit), meaning that voice and exit substitute each other.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:transa:v:130:y:2019:i:c:p:593-605
    DOI: 10.1016/j.tra.2019.09.059
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    Cited by:

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    2. Yona, Moran & Birfir, Genadi & Kaplan, Sigal, 2021. "Data science and GIS-based system analysis of transit passenger complaints to improve operations and planning," Transport Policy, Elsevier, vol. 101(C), pages 133-144.
    3. Patricia Lippitt & Nadine Itani & John F. O’Connell & David Warnock-Smith & Marina Efthymiou, 2023. "Investigating Airline Service Quality from a Business Traveller Perspective through the Integration of the Kano Model and Importance–Satisfaction Analysis," Sustainability, MDPI, vol. 15(8), pages 1-18, April.
    4. 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.
    5. Luo, Shuli & He, Sylvia Y., 2021. "Understanding gender difference in perceptions toward transit services across space and time: A social media mining approach," Transport Policy, Elsevier, vol. 111(C), pages 63-73.

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