Effects of Estimation- And Application- Choice-sets on Route Choice Model Performance: An Empirical Assessment
This study is an empirical contribution to the literature on the subject of the effect of estimation- and application- choice sets on the performance of route-choice models for short- distance trips. Route choice models were estimated using six different choice sets varying in size and composition. The models estimated with 10 or 15 alternatives with a maximum commonly factor threshold of 1 were shown to be most preferred. In the application context, the predictive performance of the models were found to decline with increasing number of alternatives in the choice set. In the current empirical context, an application choice-set size of 5 was found to yield the best predictive performance when the best models were used. Overall, these results are encouraging from a practical standpoint as models with computationally simpler choice sets are shown to have good performance over those needing additional computational costs.
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Supplemental Notes:
- This paper was sponsored by TRB committee ADB40 Transportation Demand Forecasting.
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Corporate Authors:
500 Fifth Street, NW
Washington, DC United States 20001 -
Authors:
- Geda, Avinash
- Srinivasan, Sivaramakrishnan
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Conference:
- Transportation Research Board 94th Annual Meeting
- Location: Washington DC, United States
- Date: 2015-1-11 to 2015-1-15
- Date: 2015
Language
- English
Media Info
- Media Type: Digital/other
- Features: References; Tables;
- Pagination: 22p
- Monograph Title: TRB 94th Annual Meeting Compendium of Papers
Subject/Index Terms
- TRT Terms: Choice models; Data files; Empirical methods; Forecasting; Mathematical prediction; Route choice; Sets
- Subject Areas: Data and Information Technology; Passenger Transportation; Planning and Forecasting; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01559057
- Record Type: Publication
- Report/Paper Numbers: 15-5880
- Files: TRIS, TRB, ATRI
- Created Date: Mar 31 2015 4:56PM