IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2602.10456.html

Informal and Privatized Transit: Incentives, Efficiency and Coordination

Author

Listed:
  • Devansh Jalota
  • Matthew Tsao

Abstract

Informal and privatized transit services, such as minibuses and shared auto-rickshaws, are integral to daily travel in large urban metropolises, providing affordable commutes where a formal public transport system is inadequate and other options are unaffordable. Despite the crucial role that these services play in meeting mobility needs, governments often do not account for these services or their underlying incentives when planning transit systems, which can significantly compromise system efficiency. Against this backdrop, we develop a framework to analyze the incentives underlying informal and privatized transit systems, while proposing mechanisms to guide public transit operation and incentive design when a substantial share of mobility is provided by such profit-driven private operators. We introduce a novel, analytically tractable game-theoretic model of a fully privatized informal transit system with a fixed menu of routes, in which profit-maximizing informal operators (drivers) decide where to provide service and cost-minimizing commuters (riders) decide whether to use these services. Within this framework, we establish tight price of anarchy bounds which demonstrate that decentralized, profit-maximizing driver behavior can lead to bounded yet substantial losses in cumulative driver profit and rider demand served. We further show that these performance losses can be mitigated through targeted interventions, including Stackelberg routing mechanisms in which a modest share of drivers are centrally controlled, reflecting environments where informal operators coexist with public transit, and cross-subsidization schemes that use route-specific tolls or subsidies to incentivize drivers to operate on particular routes. Finally, we reinforce these findings through numerical experiments based on a real-world informal transit system in Nalasopara, India.

Suggested Citation

  • Devansh Jalota & Matthew Tsao, 2026. "Informal and Privatized Transit: Incentives, Efficiency and Coordination," Papers 2602.10456, arXiv.org, revised Mar 2026.
  • Handle: RePEc:arx:papers:2602.10456
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2602.10456
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ali Aouad & Ömer Sarıtaç, 2022. "Dynamic Stochastic Matching Under Limited Time," Operations Research, INFORMS, vol. 70(4), pages 2349-2383, July.
    2. Gabriel Kreindler & Arya Gaduh & Tilman Graff & Rema Hanna & Benjamin A. Olken, 2023. "Optimal Public Transportation Networks: Evidence from the World's Largest Bus Rapid Transit System in Jakarta," NBER Working Papers 31369, National Bureau of Economic Research, Inc.
    3. Björkegren, Daniel & Duhaut, Alice & Nagpal, Geetika & Tsivanidis, Nick, 2025. "Public and Private Transit : Evidence from Lagos," Policy Research Working Paper Series 11229, The World Bank.
    4. Daniel Björkegren & Alice Duhaut & Geetika Nagpal & Nick Tsivanidis, 2025. "Public and Private Transit: Evidence from Lagos," NBER Working Papers 33899, National Bureau of Economic Research, Inc.
    5. Giulia Brancaccio & Myrto Kalouptsidi & Theodore Papageorgiou & Nicola Rosaia, 2023. "Search Frictions and Efficiency in Decentralized Transport Markets," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(4), pages 2451-2503.
    6. Siddhartha Banerjee & Chamsi Hssaine & Qi Luo & Samitha Samaranayake, 2025. "Plan Your System and Price for Free: Fast Algorithms for Multimodal Transit Operations," Transportation Science, INFORMS, vol. 59(1), pages 13-27, January.
    7. Goldwyn, Eric, 2020. "Anatomy of a new dollar van route: Informal transport and planning in New York City," Journal of Transport Geography, Elsevier, vol. 88(C).
    8. Kostas Bimpikis & Ozan Candogan & Daniela Saban, 2019. "Spatial Pricing in Ride-Sharing Networks," Operations Research, INFORMS, vol. 67(3), pages 744-769, May.
    9. Jacqueline M. Klopp & Clemence Cavoli, 2019. "Mapping minibuses in Maputo and Nairobi: engaging paratransit in transportation planning in African cities," Transport Reviews, Taylor & Francis Journals, vol. 39(5), pages 657-676, September.
    10. Zhu, Zheng & Ke, Jintao & Wang, Hai, 2021. "A mean-field Markov decision process model for spatial-temporal subsidies in ride-sourcing markets," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 540-565.
    11. Gregory D. Erhardt & Richard Alexander Mucci & Drew Cooper & Bhargava Sana & Mei Chen & Joe Castiglione, 2022. "Do transportation network companies increase or decrease transit ridership? Empirical evidence from San Francisco," Transportation, Springer, vol. 49(2), pages 313-342, April.
    12. Arnott, Richard & de Palma, Andre & Lindsey, Robin, 1993. "A Structural Model of Peak-Period Congestion: A Traffic Bottleneck with Elastic Demand," American Economic Review, American Economic Association, vol. 83(1), pages 161-179, March.
    13. Yang, Hai & Yan Kong, Hoi & Meng, Qiang, 2001. "Value-of-time distributions and competitive bus services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 37(6), pages 411-424, December.
    14. Kush Mohan Mittal & Marc Timme & Malte Schröder, 2024. "Efficient self-organization of informal public transport networks," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
    15. Small, Kenneth A, 1982. "The Scheduling of Consumer Activities: Work Trips," American Economic Review, American Economic Association, vol. 72(3), pages 467-479, June.
    16. Salomon, Ilan & Silman, Lionel, 1985. "Scheduled bus and Sherut taxi operation in Israel," Transportation Research Part B: Methodological, Elsevier, vol. 19(3), pages 259-264, June.
    17. Sangveraphunsiri, Tawit & Cassidy, Michael J. & Daganzo, Carlos F., 2022. "Jitney-lite: a flexible-route feeder service for developing countries," Transportation Research Part B: Methodological, Elsevier, vol. 156(C), pages 1-13.
    18. Cervero, Robert & Golub, Aaron, 2007. "Informal transport: A global perspective," Transport Policy, Elsevier, vol. 14(6), pages 445-457, November.
    19. Enrique Fernandez & Patrice Marcotte, 1992. "Operators-Users Equilibrium Model in a Partially Regulated Transit System," Transportation Science, INFORMS, vol. 26(2), pages 93-105, May.
    Full references (including those not matched with items on IDEAS)

    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. Chavis, Celeste & Daganzo, Carlos F., 2013. "Analyzing the structure of informal transit: The evening commute problem," Research in Transportation Economics, Elsevier, vol. 39(1), pages 277-284.
    2. Li, Baibing, 2019. "Measuring travel time reliability and risk: A nonparametric approach," Transportation Research Part B: Methodological, Elsevier, vol. 130(C), pages 152-171.
    3. André de Palma & Claude Lefèvre, 2018. "Bottleneck models and departure time problems," Working Papers hal-01581519, HAL.
    4. Yu Nie, 2015. "A New Tradable Credit Scheme for the Morning Commute Problem," Networks and Spatial Economics, Springer, vol. 15(3), pages 719-741, September.
    5. Vincent A.C. van den Berg & Erik T. Verhoef, 2015. "Robot Cars and Dynamic Bottleneck Congestion: The Effects on Capacity, Value of Time and Preference Heterogeneity," Tinbergen Institute Discussion Papers 15-062/VIII, Tinbergen Institute, revised 11 Jul 2016.
    6. Tseng, Yin-Yen & Verhoef, Erik T., 2008. "Value of time by time of day: A stated-preference study," Transportation Research Part B: Methodological, Elsevier, vol. 42(7-8), pages 607-618, August.
    7. Kenneth Small, 2015. "The Bottleneck Model: An Assessment and Interpretation," Working Papers 141506, University of California-Irvine, Department of Economics.
    8. Fosgerau, Mogens & Engelson, Leonid, 2011. "The value of travel time variance," Transportation Research Part B: Methodological, Elsevier, vol. 45(1), pages 1-8, January.
    9. Daniel, Joseph I, 1995. "Congestion Pricing and Capacity of Large Hub Airports: A Bottleneck Model with Stochastic Queues," Econometrica, Econometric Society, vol. 63(2), pages 327-370, March.
    10. A. de Palma & F. Marchal, 2001. "Real Cases Applications of the Fully Dynamic METROPOLIS Tool-Box: an Advocacy for Large-scale Mesoscopic Transportation Systems," Thema Working Papers 2001-18, THEMA (Théorie Economique, Modélisation et Applications), CY Cergy-Paris University, ESSEC and CNRS.
    11. Takao Dantsuji & Daisuke Fukuda & Nan Zheng, 2021. "Simulation-based joint optimization framework for congestion mitigation in multimodal urban network: a macroscopic approach," Transportation, Springer, vol. 48(2), pages 673-697, April.
    12. Emami, Maryam & Haghshenas, Hossein & Talebian, Ahmadreza & Kermanshahi, Shahab, 2022. "A game theoretic approach to study the impact of transportation policies on the competition between transit and private car in the urban context," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 320-337.
    13. Knockaert, Jasper & Verhoef, Erik T. & Rouwendal, Jan, 2016. "Bottleneck congestion: Differentiating the coarse charge," Transportation Research Part B: Methodological, Elsevier, vol. 83(C), pages 59-73.
    14. André De Palma & Denis Rochat, 1999. "Understanding individual travel decisions: results from a commuters survey in Geneva," Transportation, Springer, vol. 26(3), pages 263-281, August.
    15. Nicolas Coulombel & André de Palma, 2014. "The marginal social cost of travel time variability," Post-Print hal-01100105, HAL.
    16. Takayama, Yuki, 2018. "Time-varying congestion tolling and urban spatial structure," MPRA Paper 89896, University Library of Munich, Germany.
    17. Yang, Hai & Meng, Qiang, 1998. "Departure time, route choice and congestion toll in a queuing network with elastic demand," Transportation Research Part B: Methodological, Elsevier, vol. 32(4), pages 247-260, May.
    18. Abass, Abubakar Sadiq & Aljoufie, Mohammed & Gbban, Abdulrhman M., 2025. "The role of paratransit in sustainable urban mobility: A scoping review," Research in Transportation Economics, Elsevier, vol. 113(C).
    19. de Palma, André & Ordás Criado, Carlos & Randrianarisoa, Laingo M., 2018. "When Hotelling meets Vickrey. Service timing and spatial asymmetry in the airline industry," Journal of Urban Economics, Elsevier, vol. 105(C), pages 88-106.
    20. Yining Liu & Yanfeng Ouyang, 2022. "Planning ride-pooling services with detour restrictions for spatially heterogeneous demand: A multi-zone queuing network approach," Papers 2208.02219, arXiv.org, revised Jun 2023.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:arx:papers:2602.10456. 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    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.