01520111

Component

Dhaka, one of the fastest growing megacities of the world, is subjected to severe traffic congestion on a regular basis. The problem is getting more acute day by day due to alarming increase in car usage. Car restraint policies like congestion pricing therefore has a substantial potential to reduce traffic congestion in Dhaka. This paper investigates the potential response to congestion pricing in Dhaka using Stated Preference (SP) surveys where users are presented with hypothetical choice scenarios involving varying amounts of congestion charges and travel time savings alongside improved public transport options. Two case studies have been conducted in this regard focusing on shopping and work trips respectively. Discrete choice models have been developed to model the sensitivity towards congestion pricing and to quantify the potential effectiveness of this measure in different contexts. The outputs from the model reveal that implementing congestion pricing can play a substantial role in reducing traffic congestion, provided reliable public transport options are assured.

This paper was sponsored by TRB committee ABE90 Transportation in the Developing Countries. Alternate title: Modeling Behavioral Response to Congestion Pricing in Dhaka, Bangladesh

01503729

14-5000

English

18p

2014

Transportation Research Board 93rd Annual Meeting

Digital/other

Figures; Maps; Photos; References; Tables

Behavior; Case studies; Choice models; Congestion pricing; Public transit; Shopping trips; Stated preferences; Traffic congestion; Travel time; Work trips

Dhaka (Bangladesh)

Highways; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning

Transportation Research Board Annual Meeting 2014 Paper #14-5000

TRIS, TRB, ATRI

Jan 27 2014 3:45PM