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Title: Regret Minimization Based Joint Econometric Model of Mode Choice and Time of Day: A Case Study of University Students in Toronto, Canada
Accession Number: 01661471
Record Type: Component
Abstract: With the objective of enhancing their understanding of student travel patterns, the authors examine their mode choice and departure time for discretionary purposes. In their study, they hypothesize that individuals are likely to consider these choices in a sequence, even if the time difference between these decisions is infinitesimally small. The proposed model allows incorporation of choice sequences (mode first, departure time second and departure time first, mode second) simultaneously. The authors employ a latent segmentation approach that probabilistically allocates students to the two sequences. Within this segmentation process, they allow the mode choice and departure time decisions to follow random utility or random regret decision framework. To the best of the authors’ knowledge, this is the first application of such a joint sequential system using regret based decision rule. Their results indicate that students’ mode and departure time choice behavior is better represented by random regret paradigm. Further, students are more likely to choose their departure time first and then mode. The estimated models are validated based on a hold-out sample.
Supplemental Notes: This paper was sponsored by TRB committee ADB10 Standing Committee on Traveler Behavior and Values.
Report/Paper Numbers: 18-06123
Language: English
Authors: Anowar, SabreenaFaghih-Imani, AhmadrezaMiller, Eric JEluru, NaveenPagination: 8p
Publication Date: 2018
Conference:
Transportation Research Board 97th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Uncontrolled Terms: Geographic Terms: Subject Areas: Highways; Pedestrians and Bicyclists; Planning and Forecasting
Source Data: Transportation Research Board Annual Meeting 2018 Paper #18-06123
Files: TRIS, TRB, ATRI
Created Date: Jan 8 2018 11:35AM
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