Random utility maximization discrete-choice models are widely used in transportation and
other fields to represent the choice of one among a set of mutually exclusive alternatives …

A preliminary consideration of the process leading to acts of choice is outlined in terms of the
underlying dynamic process that molds the consumer's preference functions. This is …

The integrated modeling of land use and transportation involves analyzing the entire choice
continuum defining people's lifestyles across temporal scales. This includes long term …

The likelihood functions of multinomial probit (MNP)-based choice models entail the
evaluation of analytically-intractable integrals. As a result, such models are usually …

The nested logit model has been used extensively to model multi-dimensional choice
situations. A drawback of the nested logit model is that it does not allow choice alternatives …

This study proposes a mixed logit model with multivariate nonparametric finite mixture
distributions. The support of the distribution is specified as a high-dimensional grid over the …

This paper formulates a model that extends the traditional panel discrete choice model to
include social/spatial dependencies in the form of dyadic interactions between each pair of …

The gap between discrete choice models and behavioral theory has spurred various
developments that attempted to enrich the behavioral realism of discrete choice models by …

This paper makes both a methodological contribution as well as an empirical contribution.
From a methodological perspective, we propose a new econometric approach for the …

Dynamic, disaggregate choice models which use longitudinal data are known to have clear
advantages over cross-sectional models, but they also have their own unique estimation …