Latent Class Choice Model of Heterogeneous Drivers' Route Choice Behavior Based on Learning in a Real-World Experiment

This paper presents a route choice model of latent class heterogeneous drivers that is based on learning in a real-world experiment. Previous publications have presented findings about personal differences in route-switching aggressiveness among drivers. These differences were described by behavior (or driver) types reflecting aggressiveness in route-switching behavior. Behavior types were predictable from driver demographics and from personality traits, as well as from choice situation characteristics. In addition, the behavior types were significant in predicting route choice behavior. This paper does not use the hierarchical procedure that models behavior type on one level and then models route choice at a second level on the basis of behavior type. Instead, both models are estimated simultaneously. In the estimated latent class choice models, the latent classes represent the behavior types, and the choice model is the route-switching behavior. The models developed in this paper are based on a sample of 20 drivers who made more than 2,000 real-world route choices. The results of the developed models indicate that (a) driver classes exist and appear to be similar to the behavior types identified in earlier publications; (b) latent driver classes depend on driver demographics, personality traits, and choice situation characteristics; (c) different driver classes follow different route choice strategies; and (d) incorporating behavior types or latent classes improves route choice model performance, but latent class models perform better than hierarchical behavior-type models.


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  • Accession Number: 01521705
  • Record Type: Publication
  • ISBN: 9780309287074
  • Report/Paper Numbers: 13-1367
  • Files: TRIS, TRB, ATRI
  • Created Date: Apr 7 2014 12:59PM