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Fare evasion in public transport: How does it affect the optimal design and pricing?

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  • Ramos, Raúl
  • Silva, Hugo E.

Abstract

Fare evasion produces significant revenue losses in public transport systems. Recent research has found that low service quality and high prices are important determinants of fare evasion. However, the economic literature that studies the optimal public transport provision has overlooked the phenomenon. We develop a demand model of horizontal differentiation to investigate how fare evasion affects the design and pricing of public transport that maximizes utilitarian social welfare. We show analytically that fare evasion can create incentives to reduce public transport prices and improve service quality, putting upward pressure on its subsidization. We perform numerical simulations and sensitivity analysis to quantify the impact of these incentives on the public transport provision. These simulations confirm that the incentive to reduce fare evasion can lead to an optimal design and price that requires subsidies.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:transb:v:176:y:2023:i:c:s0191261523001285
    DOI: 10.1016/j.trb.2023.102803
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    1. Zhixin Dai & Fabio Galeotti & Marie Claire Villeval, 2018. "Cheating in the Lab Predicts Fraud in the Field: An Experiment in Public Transportation," Management Science, INFORMS, vol. 64(3), pages 1081-1100, March.
    2. 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.
    3. Sandmo, Agnar, 1981. "Income tax evasion, labour supply, and the equity--efficiency tradeoff," Journal of Public Economics, Elsevier, vol. 16(3), pages 265-288, December.
    4. Small, Kenneth A & Rosen, Harvey S, 1981. "Applied Welfare Economics with Discrete Choice Models," Econometrica, Econometric Society, vol. 49(1), pages 105-130, January.
    5. Leonardo J. Basso & Hugo E. Silva, 2014. "Efficiency and Substitutability of Transit Subsidies and Other Urban Transport Policies," American Economic Journal: Economic Policy, American Economic Association, vol. 6(4), pages 1-33, November.
    6. Adler, Martin W. & van Ommeren, Jos N., 2016. "Does public transit reduce car travel externalities? Quasi-natural experiments' evidence from transit strikes," Journal of Urban Economics, Elsevier, vol. 92(C), pages 106-119.
    7. Anderson, Simon P & de Palma, Andre, 1992. "Multiproduct Firms: A Nested Logit Approach," Journal of Industrial Economics, Wiley Blackwell, vol. 40(3), pages 261-276, September.
    8. Fielbaum, Andrés & Jara-Diaz, Sergio & Gschwender, Antonio, 2020. "Beyond the Mohring effect: Scale economies induced by transit lines structures design," Economics of Transportation, Elsevier, vol. 22(C).
    9. 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.
    10. Israel Pressman, 1970. "A Mathematical Formulation of the Peak-Load Pricing Problem," Bell Journal of Economics, The RAND Corporation, vol. 1(2), pages 304-326, Autumn.
    11. Hörcher, Daniel & Graham, Daniel J., 2020. "MaaS economics: Should we fight car ownership with subscriptions to alternative modes?," Economics of Transportation, Elsevier, vol. 22(C).
    12. Banerjee, Dyuti S., 2003. "Software piracy: a strategic analysis and policy instruments," International Journal of Industrial Organization, Elsevier, vol. 21(1), pages 97-127, January.
    13. de Palma, André & Lindsey, Robin & Monchambert, Guillaume, 2017. "The economics of crowding in rail transit," Journal of Urban Economics, Elsevier, vol. 101(C), pages 106-122.
    14. Pestieau, Pierre & Possen, Uri M., 1991. "Tax evasion and occupational choice," Journal of Public Economics, Elsevier, vol. 45(1), pages 107-125, June.
    15. Tirachini, Alejandro & Hensher, David A. & Rose, John M., 2014. "Multimodal pricing and optimal design of urban public transport: The interplay between traffic congestion and bus crowding," Transportation Research Part B: Methodological, Elsevier, vol. 61(C), pages 33-54.
    16. Simon P. Anderson & André De Palma & Jacques-François Thisse, 1989. "Demand for Differentiated Products, Discrete Choice Models, and the Characteristics Approach," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 56(1), pages 21-35.
    17. Kraus, Marvin, 2003. "A new look at the two-mode problem," Journal of Urban Economics, Elsevier, vol. 54(3), pages 511-530, November.
    18. Guarda, Pablo & Galilea, Patricia & Handy, Susan & Muñoz, Juan Carlos & Ortúzar, Juan de Dios, 2016. "Decreasing fare evasion without fines? A microeconomic analysis," Research in Transportation Economics, Elsevier, vol. 59(C), pages 151-158.
    19. Auriol, Emmanuelle & Warlters, Michael, 2012. "The marginal cost of public funds and tax reform in Africa," Journal of Development Economics, Elsevier, vol. 97(1), pages 58-72.
    20. Prateek Bansal & Daniel Hörcher & Daniel J. Graham, 2022. "A dynamic choice model to estimate the user cost of crowding with large‐scale transit data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(2), pages 615-639, April.
    21. Ramírez, Vicente & Galilea, Patricia & Poblete, Joaquín & Silva, Hugo E., 2022. "Team-based incentives in transportation firms: An experiment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 164(C), pages 1-12.
    22. Proost, Stef & Dender, Kurt Van, 2008. "Optimal urban transport pricing in the presence of congestion, economies of density and costly public funds," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(9), pages 1220-1230, November.
    23. Martin Besfamille & Nicolás Figueroa & León Guzmán, 2022. "Fare Evasion and Monopoly Regulation," Documentos de Trabajo 566, Instituto de Economia. Pontificia Universidad Católica de Chile..
    24. Yoon, Kiho, 2002. "The optimal level of copyright protection," Information Economics and Policy, Elsevier, vol. 14(3), pages 327-348, September.
    25. 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.
    26. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    27. 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.
    28. Börjesson, Maria & Fung, Chau Man & Proost, Stef, 2017. "Optimal prices and frequencies for buses in Stockholm," Economics of Transportation, Elsevier, vol. 9(C), pages 20-36.
    29. 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.
    30. Zhang, Junlin & Yang, Hai & Lindsey, Robin & Li, Xinwei, 2020. "Modeling and managing congested transit service with heterogeneous users under monopoly," Transportation Research Part B: Methodological, Elsevier, vol. 132(C), pages 249-266.
    31. Delbosc, Alexa & Currie, Graham, 2016. "Cluster analysis of fare evasion behaviours in Melbourne, Australia," Transport Policy, Elsevier, vol. 50(C), pages 29-36.
    32. Jara-Díaz, Sergio & Fielbaum, Andrés & Gschwender, Antonio, 2020. "Strategies for transit fleet design considering peak and off-peak periods using the single-line model," Transportation Research Part B: Methodological, Elsevier, vol. 142(C), pages 1-18.
    33. Porath, Keiko & Galilea, Patricia, 2020. "Temporal analysis of fare evasion in Transantiago: A socio-political view," Research in Transportation Economics, Elsevier, vol. 83(C).
    34. Laszlo Goerke, 2017. "Tax evasion in a Cournot oligopoly with endogenous entry," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 24(5), pages 754-779, September.
    35. Jean-Baptiste Suquet, 2010. "Drawing the line: how inspectors enact deviant behaviors," Post-Print hal-01133097, HAL.
    36. Anderson, Simon Peter & de Palma, Andre & Thisse, Jacques-Francois, 1988. "A Representative Consumer Theory of the Logit Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 29(3), pages 461-466, August.
    37. 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.
    38. Sergio Jara-Díaz & Antonio Gschwender, 2003. "Towards a general microeconomic model for the operation of public transport," Transport Reviews, Taylor & Francis Journals, vol. 23(4), pages 453-469, July.
    39. Sergio Jara-Díaz & Antonio Gschwender, 2009. "The effect of financial constraints on the optimal design of public transport services," Transportation, Springer, vol. 36(1), pages 65-75, January.
    40. Batarce, Marco & Galilea, Patricia, 2018. "Cost and fare estimation for the bus transit system of Santiago," Transport Policy, Elsevier, vol. 64(C), pages 92-101.
    41. Waters, James, 2015. "Welfare implications of piracy with dynamic pricing and heterogeneous consumers," European Journal of Operational Research, Elsevier, vol. 240(3), pages 904-911.
    42. Martin W Adler & Federica Liberini & Antonio Russo & Jos N. van Ommeren, 2021. "The congestion relief benefit of public transit: evidence from Rome," Journal of Economic Geography, Oxford University Press, vol. 21(3), pages 397-431.
    43. 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.
    44. 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.
    45. Tirachini, Alejandro & Hensher, David A., 2011. "Bus congestion, optimal infrastructure investment and the choice of a fare collection system in dedicated bus corridors," Transportation Research Part B: Methodological, Elsevier, vol. 45(5), pages 828-844, June.
    46. Richard Batley & Thijs Dekker, 2019. "The Intuition Behind Income Effects of Price Changes in Discrete Choice Models, and a Simple Method for Measuring the Compensating Variation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(1), pages 337-366, September.
    47. Hörcher, Daniel & De Borger, Bruno & Seifu, Woubit & Graham, Daniel J., 2020. "Public transport provision under agglomeration economies," Regional Science and Urban Economics, Elsevier, vol. 81(C).
    48. Fielbaum, Andrés & Jara-Diaz, Sergio & Gschwender, Antonio, 2021. "Lines spacing and scale economies in the strategic design of transit systems in a parametric city," Research in Transportation Economics, Elsevier, vol. 90(C).
    49. 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.
    50. Sun, Yanshuo & Guo, Qianwen & Schonfeld, Paul & Li, Zhongfei, 2016. "Implications of the cost of public funds in public transit subsidization and regulation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 236-250.
    51. 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.
    52. Hörcher, Daniel & Tirachini, Alejandro, 2021. "A review of public transport economics," Economics of Transportation, Elsevier, vol. 25(C).
    53. Jean-Jacques Laffont & Jean Tirole, 1993. "A Theory of Incentives in Procurement and Regulation," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262121743, December.
    54. 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.
    55. Basso, Leonardo J. & Jara-Díaz, Sergio R., 2012. "Integrating congestion pricing, transit subsidies and mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(6), pages 890-900.
    56. Glenn W. Harrison & Thomas F. Rutherford & David G. Tarr, 2014. "Trade Policy Options for Chile: The Importance of Market Access," World Scientific Book Chapters, in: APPLIED TRADE POLICY MODELING IN 16 COUNTRIES Insights and Impacts from World Bank CGE Based Projects, chapter 14, pages 329-359, World Scientific Publishing Co. Pte. Ltd..
    57. de Grange, Louis & González, Felipe & Muñoz, Juan Carlos & Troncoso, Rodrigo, 2013. "Aggregate estimation of the price elasticity of demand for public transport in integrated fare systems: The case of Transantiago," Transport Policy, Elsevier, vol. 29(C), pages 178-185.
    58. Sasaki, Yasuo, 2014. "Optimal choices of fare collection systems for public transportations: Barrier versus barrier-free," Transportation Research Part B: Methodological, Elsevier, vol. 60(C), pages 107-114.
    59. Matas, Anna & Raymond, Josep-Lluis & Ruiz, Adriana, 2020. "Economic and distributional effects of different fare schemes: Evidence from the Metropolitan Region of Barcelona," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 1-14.
    60. 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.
    61. Alexa Delbosc & Graham Currie, 2019. "Why do people fare evade? A global shift in fare evasion research," Transport Reviews, Taylor & Francis Journals, vol. 39(3), pages 376-391, May.
    62. Trandel, Gregory A., 1992. "Evading the use tax on cross-border sales : Pricing and welfare effects," Journal of Public Economics, Elsevier, vol. 49(3), pages 313-331, December.
    63. Silva, Emilson C. D. & Kahn, Charles M., 1993. "Exclusion and moral hazard : The case of identical demand," Journal of Public Economics, Elsevier, vol. 52(2), pages 217-235, September.
    64. 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.
    65. Ballard, Charles L & Shoven, John B & Whalley, John, 1985. "General Equilibrium Computations of the Marginal Welfare Costs of Taxes in the United States," American Economic Review, American Economic Association, vol. 75(1), pages 128-138, March.
    66. Bansal, Prateek & Hurtubia, Ricardo & Tirachini, Alejandro & Daziano, Ricardo A., 2019. "Flexible estimates of heterogeneity in crowding valuation in the New York City subway," Journal of choice modelling, Elsevier, vol. 31(C), pages 124-140.
    67. Sun, S. & Szeto, W.Y., 2019. "Optimal sectional fare and frequency settings for transit networks with elastic demand," Transportation Research Part B: Methodological, Elsevier, vol. 127(C), pages 147-177.
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