Traditional travel demand models are estimated from revealed preference data with manifest explanatory variables and assume that the choice set is a priori given.This paper presents a methodology that combines revealed preference data and psychometric data in the development of travel behavior models. The approach is based on a theoretical framework that includes latent psychological factors of attitudes, perceptions, preferences and choice sets. General formulation of the framework is presented followed by more detailed presentation of three submodels: combined estimation from revealed and stated preference data, discrete choice models with latent explanatory variables, and development of latent choice set models.
