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An empirical model for the psychology of deliberate and unintentional fare evasion

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  • Currie, Graham
  • Delbosc, Alexa

Abstract

Fare evasion is a major source of revenue loss for public transport systems worldwide. In difficult economic times, it is more important than ever for public transport systems to reduce revenue loss through fare evasion to better target income and service supply to available budgets. This paper reports the results of a major project seeking to reduce fare evasion by better understanding the psychological factors causing evasion. The focus of the research is Melbourne Australia where some $Aust55M/€35Mp.a. (average 2005–2011) is lost through fare evasion representing 11.6% of ridership (in May 2012). The major aim of the research is to identify, using empirical, research the factors influencing passengers to either deliberately or unintentionally fare evade.

Suggested Citation

  • Currie, Graham & Delbosc, Alexa, 2017. "An empirical model for the psychology of deliberate and unintentional fare evasion," Transport Policy, Elsevier, vol. 54(C), pages 21-29.
    • Handle: RePEc:eee:trapol:v:54:y:2017:i:c:p:21-29
    DOI: 10.1016/j.tranpol.2016.11.002
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    References listed on IDEAS

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    1. Delbosc, Alexa & Currie, Graham, 2016. "Cluster analysis of fare evasion behaviours in Melbourne, Australia," Transport Policy, Elsevier, vol. 50(C), pages 29-36.
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    Cited by:

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    2. Ramos, Raúl & Silva, Hugo E., 2023. "Fare evasion in public transport: How does it affect the optimal design and pricing?," Transportation Research Part B: Methodological, Elsevier, vol. 176(C).
    3. Allen, Jaime & Muñoz, Juan Carlos & Ortúzar, Juan de Dios, 2019. "On evasion behaviour in public transport: Dissatisfaction or contagion?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 626-651.
    4. Xiao-Ling Jin & Zhongyun Zhou & Yiwei Tian, 2022. "A Configurational Analysis of the Causes of Consumer Indirect Misbehaviors in Access-Based Consumption," Journal of Business Ethics, Springer, vol. 175(1), pages 135-166, January.
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    6. Rosell, Jordi & Allen, Jaime, 2020. "Test-riding the driverless bus: Determinants of satisfaction and reuse intention in eight test-track locations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 166-189.
    7. Allen, Jaime & Muñoz, Juan Carlos & Ortúzar, Juan de Dios, 2019. "Understanding public transport satisfaction: Using Maslow's hierarchy of (transit) needs," Transport Policy, Elsevier, vol. 81(C), pages 75-94.
    8. Guzman, Luis A. & Arellana, Julian & Camargo, José Pablo, 2021. "A hybrid discrete choice model to understand the effect of public policy on fare evasion discouragement in Bogotá's Bus Rapid Transit," Transportation Research Part A: Policy and Practice, Elsevier, vol. 151(C), pages 140-153.
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    13. Felipe González & Carolina Busco & Katheryn Codocedo, 2019. "Fare Evasion in Public Transport: Grouping Transantiago Users’ Behavior," Sustainability, MDPI, vol. 11(23), pages 1-17, November.
    14. Jaime Allen & Laura Eboli & Gabriella Mazzulla & Juan de Dios Ortúzar, 2020. "Effect of critical incidents on public transport satisfaction and loyalty: an Ordinal Probit SEM-MIMIC approach," Transportation, Springer, vol. 47(2), pages 827-863, April.
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    16. Ayal, Shahar & Celse, Jérémy & Hochman, Guy, 2021. "Crafting messages to fight dishonesty: A field investigation of the effects of social norms and watching eye cues on fare evasion," Organizational Behavior and Human Decision Processes, Elsevier, vol. 166(C), pages 9-19.
    17. Cantillo, Angel & Raveau, Sebastián & Muñoz, Juan Carlos, 2022. "Fare evasion on public transport: Who, when, where and how?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 156(C), pages 285-295.
    18. Porath, Keiko & Galilea, Patricia, 2020. "Temporal analysis of fare evasion in Transantiago: A socio-political view," Research in Transportation Economics, Elsevier, vol. 83(C).
    19. Benedetto Barabino & Cristian Lai & Alessandro Olivo, 2020. "Fare evasion in public transport systems: a review of the literature," Public Transport, Springer, vol. 12(1), pages 27-88, March.
    20. Allen, Jaime & Muñoz, Juan Carlos & Ortúzar, Juan de Dios, 2018. "Modelling service-specific and global transit satisfaction under travel and user heterogeneity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 509-528.

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