Modeling the Effect of Demand Management on Mode Choice Behavior by Combining Revealed and Stated Preferences Data in Iran, Tehran

Congestion pricing is the popular demand management policies in metropolises to eliminate unnecessary travel or change mode choice from private vehicle to public transportation. The purpose of this paper is investigating the effects of disincentive congestion pricing and incentive improvement public transportation policies to mode choice and detecting important factors affecting the users, behaviors. Data collected from 251 questionnaires in the odd and even areas in Tehran and including of two parts of revealed and stated preference. Revealed preference data consist of the existingtransportation facilities and state preference data represents user-selected options in dealing with the new requirements of politics. The ρH index for combined NL model is 1.14 and indicating that the combined weight model has a better description of the data. The policy of reducing travel time compared to other demand management policies has more impact on the choice of users of public transport.