Policy Implications of Work-Trip Mode Choice Using Econometric Modeling
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 144, Issue 8
Abstract
Transportation agencies seek comprehensive policies and planning to overcome urban congestion and manage transportation demand with due cognizance of traveler behavior. This research develops a travel behavioral model for work-trip mode using revealed and stated choice data collected through a survey questionnaire in the city of Rawalpindi, Pakistan. The multinomial logit model specification is found best suited to develop a modal-split model and estimate travelers’ perceived expectation utility functions. The model is used to calculate elasticities and demand response to the policies of improvement in transit/bus rapid transit (BRT) and implement congestion pricing on major arterials of an urban road network. Travel demand is 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 does not induce a major change in the share proportion of automobile demand; however, congestion pricing has a significant effect on the reduction of automobile demand. Furthermore, the combination of two policies induces more modal-split than does congestion pricing alone. This research highlights traffic congestion pricing as one of the means of traffic demand management by demonstrating its contribution to improving urban traffic congestion.
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Acknowledgments
The authors gratefully acknowledge the support and cooperation of individuals who participated in the stated and revealed preference survey for this research study. The contents of this article reflect the views of the authors, who are responsible for the facts and the accuracy of the data and results presented herein. This is a technical article and does not constitute a standard or a regulation. The authors were grateful to anonymous reviewers for their insightful comments, which certainly improved the quality of the paper.
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Published In
Journal of Transportation Engineering, Part A: Systems
Volume 144 • Issue 8 • August 2018
Copyright
©2018 American Society of Civil Engineers.
History
Received: Apr 10, 2017
Accepted: Jan 30, 2018
Published online: May 24, 2018
Published in print: Aug 1, 2018
Discussion open until: Oct 24, 2018
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