IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v58y2013icp29-39.html
   My bibliography  Save this article

A modified model to curb fare evasion and enforce compliance: Empirical evidence and implications

Author

Listed:
  • Barabino, Benedetto
  • Salis, Sara
  • Useli, Bruno

Abstract

Fare evasion is a major problem for transit companies due to lost fare revenues and damage to their corporate images. Therefore, the establishment and proper management of ticket inspection teams deployed to tackle fare dodgers is highly important and represents a severe challenge. In this paper, an existent profit maximization model for estimating the optimum level of inspection has been extended, calibrated, and tested in a real case, using data available from an Italian transit operator, resulting from 98days of checks and 3659 completed on-board interviews. Given the current network-wide inspection level per single verifier, and considering the level of fines currently applied, the optimal value of the total inspection rate is found to amount to 4.5%. The model provides empirical evidence towards understanding the fare evasion problem, besides highlighting the need for collaboration with the managers of the transit company. An overview of the manipulation of some control variables related to risk perception and the main implications of the findings are presented to transport companies using “honour” ticketing systems.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:transa:v:58:y:2013:i:c:p:29-39
    DOI: 10.1016/j.tra.2013.10.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856413001870
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tra.2013.10.007?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Polinsky, Mitchell & Shavell, Steven, 1979. "The Optimal Tradeoff between the Probability and Magnitude of Fines," American Economic Review, American Economic Association, vol. 69(5), pages 880-891, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    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. Barabino, Benedetto & Salis, Sara & Useli, Bruno, 2015. "What are the determinants in making people free riders in proof-of-payment transit systems? Evidence from Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 184-196.
    4. Barabino, Benedetto & Salis, Sara & Useli, Bruno, 2014. "Fare evasion in proof-of-payment transit systems: Deriving the optimum inspection level," Transportation Research Part B: Methodological, Elsevier, vol. 70(C), pages 1-17.
    5. 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.
    6. 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.
    7. Oscar Egu & Patrick Bonnel, 2020. "Can we estimate accurately fare evasion without a survey? Results from a data comparison approach in Lyon using fare collection data, fare inspection data and counting data," Public Transport, Springer, vol. 12(1), pages 1-26, March.
    8. Elmar Wilhelm M. Fürst & David M. Herold, 2018. "Fare Evasion and Ticket Forgery in Public Transport: Insights from Germany, Austria and Switzerland," Societies, MDPI, vol. 8(4), pages 1-16, October.
    9. 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.
    10. Boyd, Colin, 2020. "Revisiting the foundations of fare evasion research," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 313-324.
    11. 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.
    12. Mehdizadeh, Milad & Shariat-Mohaymany, Afshin, 2020. "Who are more likely to break the rule of congestion charging? Evidence from an active scheme with no referendum voting," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 63-79.
    13. 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.
    14. Delbosc, Alexa & Currie, Graham, 2016. "Cluster analysis of fare evasion behaviours in Melbourne, Australia," Transport Policy, Elsevier, vol. 50(C), pages 29-36.
    15. Porath, Keiko & Galilea, Patricia, 2020. "Temporal analysis of fare evasion in Transantiago: A socio-political view," Research in Transportation Economics, Elsevier, vol. 83(C).
    16. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jan Eeckhout & Nicola Persico & Petra E. Todd, 2010. "A Theory of Optimal Random Crackdowns," American Economic Review, American Economic Association, vol. 100(3), pages 1104-1135, June.
    2. Ghulam Shabbir & Mumtaz Anwar & Shahid Adil, 2016. "Corruption, Political Stability and Economic Growth," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 55(4), pages 689-702.
    3. Jan Boone & Peter Fredriksson & Bertil Holmlund & Jan C. van Ours, 2007. "Optimal Unemployment Insurance with Monitoring and Sanctions," Economic Journal, Royal Economic Society, vol. 117(518), pages 399-421, March.
    4. Arguedas, Carmen & Rousseau, Sandra, 2009. "A note on the complementarity of uniform emission standards and monitoring strategies," Working Papers 2009/12, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
    5. Ezra Friedman & Abraham L. Wickelgren, 2006. "Bayesian Juries and The Limits to Deterrence," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 22(1), pages 70-86, April.
    6. Waldfogel, Joel, 1995. "Are Fines and Prison Terms Used Efficiently? Evidence on Federal Fraud Offenders," Journal of Law and Economics, University of Chicago Press, vol. 38(1), pages 107-139, April.
    7. Carmen Arguedas, 2008. "To Comply or Not To Comply? Pollution Standard Setting Under Costly Monitoring and Sanctioning," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 41(2), pages 155-168, October.
    8. Spaeter, Sandrine & Verchère, Alban, 2004. "Aléa moral et politiques d’audit optimales dans le cadre de la pollution d’origine agricole de l’eau," Cahiers d'Economie et de Sociologie Rurales (CESR), Institut National de la Recherche Agronomique (INRA), vol. 71.
    9. Soham Baksi & Pinaki Bose, 2007. "Credence Goods, Efficient Labelling Policies, and Regulatory Enforcement," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 37(2), pages 411-430, June.
    10. Roger H. Gordon & Jeffrey K. MacKie-Mason, 1995. "Why Is There Corporate Taxation in a Small Open Economy? The Role of Transfer Pricing and Income Shifting," NBER Chapters, in: The Effects of Taxation on Multinational Corporations, pages 67-94, National Bureau of Economic Research, Inc.
    11. Timothy Stanley, 1995. "Optimal Penalties for Concealment of Crime," Law and Economics 9507001, University Library of Munich, Germany, revised 27 Dec 1995.
    12. Isaac Ehrlich, 1996. "Crime, Punishment, and the Market for Offenses," Journal of Economic Perspectives, American Economic Association, vol. 10(1), pages 43-67, Winter.
    13. Marcel Boyer & Tracy R. Lewis & Wei Lin Liu, 2000. "Setting standards for credible compliance and law enforcement," Canadian Journal of Economics, Canadian Economics Association, vol. 33(2), pages 319-340, May.
    14. Hugh Gravelle & Nuno Garoupa, 2002. "Optimal Deterrence with Legal Defense Expenditure," Economic Inquiry, Western Economic Association International, vol. 40(3), pages 366-379, July.
    15. Nøstbakken, Linda, 2008. "Fisheries law enforcement--A survey of the economic literature," Marine Policy, Elsevier, vol. 32(3), pages 293-300, May.
    16. Shengnan Sun & Xinping Wang & Yan Zhang, 2017. "Sustainable Traceability in the Food Supply Chain: The Impact of Consumer Willingness to Pay," Sustainability, MDPI, vol. 9(6), pages 1-19, June.
    17. Thomas J. Miceli & Kathleen Segerson, 2007. "Punishing the Innocent along with the Guilty: The Economics of Individual versus Group Punishment," The Journal of Legal Studies, University of Chicago Press, vol. 36(1), pages 81-106, January.
    18. B. Caillaud & R. Guesnerie & P. Rey & J. Tirole, 1988. "Government Intervention in Production and Incentives Theory: A Review of Recent Contributions," RAND Journal of Economics, The RAND Corporation, vol. 19(1), pages 1-26, Spring.
    19. Éric Langlais & Marie Obidzinski, 2015. "Public law enforcers and political competition," EconomiX Working Papers 2015-40, University of Paris Nanterre, EconomiX.
    20. Edward L. Glaeser & Andrei Shleifer, 2003. "The Rise of the Regulatory State," Journal of Economic Literature, American Economic Association, vol. 41(2), pages 401-425, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transa:v:58:y:2013:i:c:p:29-39. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.