Citation

Swait Jr. JD, Ben-Akiva M. Transp. Res. Rec. 1986; 1085: 75-85.

Copyright

(Copyright © 1986, Transportation Research Board, National Research Council, National Academy of Sciences USA, Publisher SAGE Publishing)

DOI

unavailable

PMID

unavailable

Abstract

In this paper the statistical and predictive performance of two disaggregate choice models that incorporate probabilistic choice set formation are compared with a standard logit specification. The empirical work is conducted with work mode choice data from a Brazilian city. For the type of travel demand analyzed it is found that, although statistically inferior to the probabilistic choice set specifications, the standard logit specification, allied with market segmentation, is a robust formulation in both statistical and predictive terms. Recommendations for future research work in probabilistic choice set modeling are presented.

Record URL:
http://onlinepubs.trb.org/Onlinepubs/trr/1986/1085/1085-010.pdf

Language: en

Keywords

URBAN PLANNING; MATHEMATICAL MODELS - Applications; STATISTICAL METHODS - Applications; PROBABILITY - Analysis