Dinesh Gopinath

TL;DR: In this paper, the authors discuss the development of predictive choice models that go beyond the random utility model in its narrowest formulation and incorporate several elements of cognitive process that have been identified as important to the choice process.

TL;DR: In this article, a general theoretical framework that attempts to disentangle the various psychological elements in the decision-making process is presented and a rigorous and general methodology to model the theoretical framework, explicitly incorporating psychological factors and their influences on choices.

TL;DR: In this article, a comprehensive travel demand modeling framework is proposed to identify and model the urban development decisions of firms and the mobility, activity, and travel decisions of individuals and households.

TL;DR: A comprehensive travel demand modeling framework is proposed to identify and model the urban development decisions of firms and developers and the mobility, activity and travel decisions of individuals and households to develop a system of models that can be used by decision makers and planners to evaluate the effects of changes in the transportation system and development of information technologies.

TL;DR: In this article, the authors introduce new forms, sampling and estimation approaches for discrete choice models, including behavioral specifications of Latent Class Choice Models, multinomial probit, hybrid logit, and non-parametric methods.