01551029

Component

Transportation agencies seek comprehensive policy and planning to overcome the urban congestion and manage transportation demand with sustainable solutions taking due cognizance of the traveler’s behavior/ mode choice. This research investigates and develops a travel behavioral model for work trip mode using revealed and stated choice data collected through a questionnaire survey. Multinomial Logit model specification was found best suited to develop disaggregated modal-split model and build the traveler’s perceived expectation utility functions. The developed model was used to calculate elasticities and demand response to the policies of improvement in transit/ Bus Rapid Transit (BRT) and implementation of congestion pricing on major arterials of an urban road network. Travel demand was found elastic with respect to congestion pricing and out of vehicle travel time. It is concluded that improvement in transit services by introducing BRT alone, do not induce major change in share proportion of auto demand, however on the other hand, congestion pricing has significant effect on reduction of auto demand. Also, combination of two policies has induced more modal-split than congestion pricing alone do. This research highlights traffic congestion pricing as one of the means of traffic demand management by demonstrating its contribution to releasing the urban traffic congestion.

This paper was sponsored by TRB committee ABE25 Congestion Pricing.

01550057

15-0893

English

15p

2015

Transportation Research Board 94th Annual Meeting

Digital/other

Figures; References; Tables

Congestion pricing; Econometric models; Mode choice; Multinomial logits; Policy analysis; Travel demand management; Work trips

Finance; Operations and Traffic Management; Passenger Transportation; Policy; I73: Traffic Control

Transportation Research Board Annual Meeting 2015 Paper #15-0893

TRIS, TRB, ATRI

Dec 30 2014 12:23PM