A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Urban travel demand model with endogenous congestion
Highlights We formulate a travel demand model where the congestion level is endogenously determined. Individual’s utility depends on the total number of trips in the transportation system. Congestion level is determined in the equilibrium of a game that users play when they choose mode and number of trips. We provide an estimation method and conditions for identification of the model. Using data from Santiago, we confirm that congestion affects individuals’ transport decision.
Abstract We formulate and estimate a structural model for travel demand in which users have heterogeneous preferences and make their transport decisions based on network congestion. A key component in the model is the infinite number of users in the network, all of whom have common knowledge about the distribution of preferences in the population. In this setting, the congestion level is endogenously determined in the equilibrium of a game with a continuum of players. For the estimate, we use the first-order conditions of the users’ utility maximization problem to derive the likelihood function. For inference, we apply a two-step, semi-parametric method. Using data from Santiago, Chile, we show that the estimated parameters confirm the effect of congestion on individuals’ preferences and that demand elasticities obtained by using our framework are consistent with results reported in the literature. We use the model to evaluate the effect on the welfare of increasing the cost of car trips and implementing a second-best fare schedule for bus transit. We also assess the welfare loss caused by congestion in Santiago.
Urban travel demand model with endogenous congestion
Highlights We formulate a travel demand model where the congestion level is endogenously determined. Individual’s utility depends on the total number of trips in the transportation system. Congestion level is determined in the equilibrium of a game that users play when they choose mode and number of trips. We provide an estimation method and conditions for identification of the model. Using data from Santiago, we confirm that congestion affects individuals’ transport decision.
Abstract We formulate and estimate a structural model for travel demand in which users have heterogeneous preferences and make their transport decisions based on network congestion. A key component in the model is the infinite number of users in the network, all of whom have common knowledge about the distribution of preferences in the population. In this setting, the congestion level is endogenously determined in the equilibrium of a game with a continuum of players. For the estimate, we use the first-order conditions of the users’ utility maximization problem to derive the likelihood function. For inference, we apply a two-step, semi-parametric method. Using data from Santiago, Chile, we show that the estimated parameters confirm the effect of congestion on individuals’ preferences and that demand elasticities obtained by using our framework are consistent with results reported in the literature. We use the model to evaluate the effect on the welfare of increasing the cost of car trips and implementing a second-best fare schedule for bus transit. We also assess the welfare loss caused by congestion in Santiago.
Urban travel demand model with endogenous congestion
Batarce, Marco (author) / Ivaldi, Marc (author)
Transportation Research Part A: Policy and Practice ; 59 ; 331-345
2013-12-03
15 pages
Article (Journal)
Electronic Resource
English
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