M. Abbasi, C. Piccioni, A. Sarreshtehdari, Y.-J. Lee
Due to the increase in population and car ownership, congestion and its consequences have become one of the main concerns in metropolises. Local authorities are attempting to reduce private car's utility using travel demand management (TDM) policies. This paper aims to investigate the individual's mode choice within the congestion pricing zone (CPZ) of the capital city of Tehran, with time-based pricing using 1388 stated preference questionnaires. The questionnaires were distributed in 2018 in Tehran, and after preparing the database, descriptive analysis and estimation of mixed logit model have been conducted to detect unobserved preference heterogeneity in people's behavior. According to the results, eight heterogeneous variables were observed among individuals. Results show as the number of entrance frequencies to CPZ increases, private cars and internet taxis are less likely to be chosen due to the higher travel cost. Due to reducing the travel cost within the CPZ for private cars at the off-peak period, the taxi and motorcycle are less likely to be chosen when the travel start or end is within the off-peak hours. Finally, the elasticity of variables has been estimated to examine people's sensitivity. The main findings could be useful for supporting decision-making processes and planning use in TDM.
Keywords: congestion pricing; mode choice; mixed logit model; heterogeneity; stated preference; travel demand management