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Travel Demand Model with Heterogeneous Users and Endogenous Congestion: An application to optimal pricing of bus services

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  • Batarce, Marco
  • Ivaldi, Marc

Abstract

We formulate and estimate a structural model for travel demand, in which users have heterogeneous preferences and make their transport decisions considering the network congestion. A key component in the model is that users have incomplete information about the preferences of other users in the network and they behave strategically when they make transportation decisions (mode and number of trips). Therefore, the congestion level is endogenously determinate in the equilibrium of the game played by users. For the estimation, we use the first order conditions of the users’ utility maximization problem to derive the likelihood function and apply Bayesian methods for inference. Using data from Santiago, Chile, the estimated demand elasticities are consistent with results reported in the literature and the parameters confirm the effect of the congestion on the individuals’ preferences. Finally, we compute optimal nonlinear prices for buses in Santiago, Chile. As a result, the nonlinear pricing schedule produces total benefits slightly greater than the linear pricing. Also, nonlinear pricing implies fewer individuals making trips by bus, but a higher number of trips per individual.

Suggested Citation

  • Batarce, Marco & Ivaldi, Marc, 2011. "Travel Demand Model with Heterogeneous Users and Endogenous Congestion: An application to optimal pricing of bus services," CEPR Discussion Papers 8416, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:8416
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    References listed on IDEAS

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    1. Spiess, Heinz & Florian, Michael, 1989. "Optimal strategies: A new assignment model for transit networks," Transportation Research Part B: Methodological, Elsevier, vol. 23(2), pages 83-102, April.
    2. Proost, Stef & Van Dender, Kurt, 2004. "7. Marginal Social Cost Pricing For All Transport Modes And The Effects Of Modal Budget Constraints," Research in Transportation Economics, Elsevier, vol. 9(1), pages 159-177, January.
    3. Sundararajan, Arun, 2004. "Nonlinear pricing and type-dependent network effects," Economics Letters, Elsevier, vol. 83(1), pages 107-113, April.
    4. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    5. Kijung Ahn, 2009. "Road Pricing and Bus Service Policies," Journal of Transport Economics and Policy, University of Bath, vol. 43(1), pages 25-53, January.
    6. Wang, Judith Y.T. & Lindsey, Robin & Yang, Hai, 2011. "Nonlinear pricing on private roads with congestion and toll collection costs," Transportation Research Part B: Methodological, Elsevier, vol. 45(1), pages 9-40, January.
    7. Joan L. Walker & Moshe Ben-Akiva & Denis Bolduc, 2007. "Identification of parameters in normal error component logit-mixture (NECLM) models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(6), pages 1095-1125.
    8. Kim, Jaehwan & Allenby, Greg M. & Rossi, Peter E., 2007. "Product attributes and models of multiple discreteness," Journal of Econometrics, Elsevier, vol. 138(1), pages 208-230, May.
    9. Hahn, Jong-Hee, 2003. "Nonlinear pricing of telecommunications with call and network externalities," International Journal of Industrial Organization, Elsevier, vol. 21(7), pages 949-967, September.
    10. Hanemann, W Michael, 1984. "Discrete-Continuous Models of Consumer Demand," Econometrica, Econometric Society, vol. 52(3), pages 541-561, May.
    11. Dubin, Jeffrey A & McFadden, Daniel L, 1984. "An Econometric Analysis of Residential Electric Appliance Holdings and Consumption," Econometrica, Econometric Society, vol. 52(2), pages 345-362, March.
    12. De Borger, Bruno, 2001. "Discrete choice models and optimal two-part tariffs in the presence of externalities: optimal taxation of cars," Regional Science and Urban Economics, Elsevier, vol. 31(4), pages 471-504, July.
    13. Daniel F. Spulber, 1989. "Regulation and Markets," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262192756, May.
    14. Armstrong, Mark, 1996. "Multiproduct Nonlinear Pricing," Econometrica, Econometric Society, vol. 64(1), pages 51-75, January.
    15. Timilsina, Govinda R. & Dulal, Hari B., 2008. "Fiscal policy instruments for reducing congestion and atmospheric emissions in the transport sector : a review," Policy Research Working Paper Series 4652, The World Bank.
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    Cited by:

    1. David, Quentin & Foucart, Renaud, 2014. "Modal choice and optimal congestion," Regional Science and Urban Economics, Elsevier, vol. 48(C), pages 12-20.
    2. Antonio Russo, 2015. "Pricing of Transport Networks, Redistribution, and Optimal Taxation," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 17(5), pages 605-640, October.

    More about this item

    Keywords

    endogenous congestion; nonlinear pricing; urban transport;

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D86 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Economics of Contract Law
    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation
    • L92 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Railroads and Other Surface Transportation

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