Examining the Relationship between Drivers’ Anticipated Travel Time and Previous Experienced Travel Times
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 144, Issue 3
Abstract
Travel time reliability refers to the day-to-day variability of trip travel times. There is a belief that there is a cost associated with unreliability and this cost can be quantified as a function of the difference between the travel time that was experienced and the travel time that was anticipated. In the realm of public transport systems, the anticipated travel time is essentially the scheduled travel time and is therefore easy to compute. However, for personal auto modes, it is not clear how the anticipated travel time should be computed. This paper focuses on addressing the following two questions: What is the relationship between the distribution of the travel times that travelers experience and the travel times that travelers anticipate for a future trip? What effect do unusually long travel times have on this anticipated travel time? The authors explored both questions through a stated preference survey that was distributed to over 3,000 individuals. Just over 300 valid responses were received, and on the basis of the survey results, a two-stage model for estimating the anticipated travel time as a function of the experienced travel time distribution was formulated and calibrated. The proposed model can be applied to travel times obtained from simulation models or from field observations.
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Acknowledgments
The authors would like to thank Professor Derek Koehler for contributing the ideas related to the social psychology; Mr. Ahmad Tanehkar for his assistance in designing the survey; and the executive committee of the Canadian Institute of Transportation Engineers (CITE) for their help in distributing the survey.
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©2018 American Society of Civil Engineers.
History
Received: Feb 6, 2017
Accepted: Sep 12, 2017
Published online: Jan 11, 2018
Published in print: Mar 1, 2018
Discussion open until: Jun 11, 2018
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