Hour and Period Based Congestion Pricing, Case of Tehran Mode Choice

With the growth of cities and the increasing number of cars, increasing capacity and supply cannot be the best option. Tehran is a city facing traffic congestion and air pollution. Due to the high cost of upgrading supply in the Central Business District (CBD), along with the historical value of the passages and buildings in the area, it is virtually impossible to replace the passages or mass transit systems. Therefore, two traffic management congestion pricing and even-odd zone are implemented in the CBD. In the present study, mode choice within the congestion pricing zone of Tehran city is investigated with varying effects on day time. For this purpose, stated preference and Reveled preference data have been used (the price of entering a personal car were presented in three price scenarios). Since the effects of transport management policies have a direct impact on citizen behavior, accurate modeling of citizen behavior is inevitable in order to predict passenger behavior in the face of different demand management policies. One assumption that improves models is the heterogeneity of citizen behavior. Therefore, the mixed logit model has been used as a flexible model to find the heterogeneity in the behavior of individuals and the source of this heterogeneity. Based on the results of the mixed logit model, it can be concluded that there are 9 variables of interest among the passengers. Also, if the price increases by 1%, the likelihood of choosing a private car decreasing by 1.0652%.