G2TT
来源类型Discussion paper
规范类型论文
来源IDDP8416
DP8416 Travel Demand Model with Heterogeneous Users and Endogenous Congestion: An application to optimal pricing of bus services
Marc Ivaldi; Marco Batarce
发表日期2011-06-01
出版年2011
语种英语
摘要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.
主题Industrial Organization
关键词Endogenous congestion Nonlinear pricing Urban transport
URLhttps://cepr.org/publications/dp8416
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/537253
推荐引用方式
GB/T 7714
Marc Ivaldi,Marco Batarce. DP8416 Travel Demand Model with Heterogeneous Users and Endogenous Congestion: An application to optimal pricing of bus services. 2011.
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