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Fare evasion and information provision: What information should be provided to reduce fare-evasion?

Author

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  • Celse, Jérémy
  • Grolleau, Gilles

Abstract

To fight fare evasion, Public Transport Companies (PTC) mainly use two strategies: increasing inspection to detect fare evaders and enforcing fines incurred in case of being caught. PTC communicate differently on sanctions and inspection probabilities. Little is known about the effects of such a communication on fare evasion. Using a survey-based experiment, we examine experimentally what information (fine or inspection rate) and what framing of that information (minimum, maximum, average and range) can better refrain people from travelling irregularly on public transports. We found relatively high levels of fare evasion intentions and results on deterrence consistent with the existing literature. We showed that participants are not sensitive to the content of the information delivered nor to its framing when considering to fare evade or not. We found that beliefs about the pervasiveness of fare evasion (e.g., the social norm) seems to be the main determinant to fare evade.

Suggested Citation

  • Celse, Jérémy & Grolleau, Gilles, 2023. "Fare evasion and information provision: What information should be provided to reduce fare-evasion?," Transport Policy, Elsevier, vol. 138(C), pages 119-128.
    • Handle: RePEc:eee:trapol:v:138:y:2023:i:c:p:119-128
    DOI: 10.1016/j.tranpol.2023.05.008
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    References listed on IDEAS

    as
    1. 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.
    2. Köbis, Nils C. & Troost, Marleen & Brandt, Cyril O. & Soraperra, Ivan, 2022. "Social norms of corruption in the field: social nudges on posters can help to reduce bribery," Behavioural Public Policy, Cambridge University Press, vol. 6(4), pages 597-624, October.
    3. 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.
    4. Bucciol, Alessandro & Landini, Fabio & Piovesan, Marco, 2013. "Unethical behavior in the field: Demographic characteristics and beliefs of the cheater," Journal of Economic Behavior & Organization, Elsevier, vol. 93(C), pages 248-257.
    5. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    6. Delbosc, Alexa & Currie, Graham, 2016. "Cluster analysis of fare evasion behaviours in Melbourne, Australia," Transport Policy, Elsevier, vol. 50(C), pages 29-36.
    7. Porath, Keiko & Galilea, Patricia, 2020. "Temporal analysis of fare evasion in Transantiago: A socio-political view," Research in Transportation Economics, Elsevier, vol. 83(C).
    8. Barabino, Benedetto & Salis, Sara & Useli, Bruno, 2013. "A modified model to curb fare evasion and enforce compliance: Empirical evidence and implications," Transportation Research Part A: Policy and Practice, Elsevier, vol. 58(C), pages 29-39.
    9. Guarda, Pablo & Galilea, Patricia & Paget-Seekins, Laurel & Ortúzar, Juan de Dios, 2016. "What is behind fare evasion in urban bus systems? An econometric approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 84(C), pages 55-71.
    10. 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.
    11. Maura L. Scott & Stephen M. Nowlis, 2013. "The Effect of Goal Specificity on Consumer Goal Reengagement," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 40(3), pages 444-459.
    12. Benedetto Barabino & Sara Salis, 2019. "Moving Towards a More Accurate Level of Inspection Against Fare Evasion in Proof-of-Payment Transit Systems," Networks and Spatial Economics, Springer, vol. 19(4), pages 1319-1346, December.
    13. 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.
    14. Daniel Read, 2005. "Monetary incentives, what are they good for?," Journal of Economic Methodology, Taylor & Francis Journals, vol. 12(2), pages 265-276.
    15. 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.
    16. Troncoso, Rodrigo & de Grange, Louis, 2017. "Fare evasion in public transport: A time series approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 311-318.
    17. Allingham, Michael G. & Sandmo, Agnar, 1972. "Income tax evasion: a theoretical analysis," Journal of Public Economics, Elsevier, vol. 1(3-4), pages 323-338, November.
    18. Rubinstein, Ariel, 2001. "A theorist's view of experiments," European Economic Review, Elsevier, vol. 45(4-6), pages 615-628, May.
    19. 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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    More about this item

    Keywords

    Fare evasion; Crime deterrence; Transportation; Behavioural ethics; Survey-based experiment;
    All these keywords.

    JEL classification:

    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • H2 - Public Economics - - Taxation, Subsidies, and Revenue

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