Abstract
In this study, a multi-modal transportation system of Bangkok Metropolitan Area (BMA) is setup and calibrated for evaluating the impact of different congestion pricing schemes. In the proposed model, auto and public transport demands will be assigned separately to the same network for finding the utilities of travel. Based on the travel utilities, captive and non-captive demands for auto and public transport are estimated by nested logit model or elastic demand functions. 8 different congestion pricing schemes are tested on the current and future networks of BMA for choosing the most beneficial scheme for the next 20 years with the consideration of demand growth and extension of railway lines. The result suggested that congestion pricing scheme with the combination of radial, inner-cordon and outer-cordon tolls gives the best performance in shifting auto users to public transport and, reducing the congestion of network.
