Hybrid choice modeling and transportation research

This study aims to examine econometric models that are used to describe and analyze individual choice behavior. Choice models examine relationships between attributes of choices, characteristics of decision makers and the decisions that choosers make. The hybrid choice model (HCM) adds latent attitudes and perceptions to the set of influencers of choice outcomes and integrates latent variable models with discrete choice models. The models considered here extend two leading platforms for contemporary choice modeling in Transportation Research: (1) the mixed (random parameters) or latent segmentation (latent class) model, and (2) stated preference analysis. This paper will survey some of the received and contemporary theoretical and Econometric aspects of this corner of discrete choice modeling. The authors will present several applications from the received literature for illustration.