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

  • Batarce, Marco
  • Ivaldi, Marc
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    We formulate and estimate a structural model for travel demand, in which users have hetero- geneous 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.

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    Paper provided by Toulouse School of Economics (TSE) in its series TSE Working Papers with number 10-226.

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    Date of creation: May 2010
    Date of revision: Apr 2011
    Handle: RePEc:tse:wpaper:24298
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    1. Armstrong, Mark, 1996. "Multiproduct Nonlinear Pricing," Econometrica, Econometric Society, vol. 64(1), pages 51-75, January.
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    6. Daniel F. Spulber, 1989. "Regulation and Markets," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262192756, June.
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    8. Dubin, Jeffrey A & McFadden, Daniel L, 1984. "An Econometric Analysis of Residential Electric Appliance Holdings and Consumption," Econometrica, Econometric Society, vol. 52(2), pages 345-62, March.
    9. Stef Proost & Kurt Van Dender, 2003. "Marginal Social Cost Pricing for all Transport modes and the effects of modal budget constraints," Energy, Transport and Environment Working Papers Series ete0311, Katholieke Universiteit Leuven, Centrum voor Economische Studiƫn, Energy, Transport and Environment.
    10. Kijung Ahn, 2009. "Road Pricing and Bus Service Policies," Journal of Transport Economics and Policy, London School of Economics and University of Bath, vol. 43(1), pages 25-53, January.
    11. Sundararajan, Arun, 2004. "Nonlinear pricing and type-dependent network effects," Economics Letters, Elsevier, vol. 83(1), pages 107-113, April.
    12. 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.
    13. 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.
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