This paper presents conceptual and methodogical frameworks for inclusion of latent factors
as explanatory variables in choice models. The method described provides for explicit …

This paper presents a general methodology and framework for including latent variables—in
particular, attitudes and perceptions—in choice models. This is something that has long …

This chapter proposes a method for incorporating latent qualitative factors in travel-demand
models. The framework for the proposed method is composed of a linear structural equation …

The paper outlines a framework for the analysis of transferability of behavioral models that
covers theoretical, pragmatic, and statistical considerations. The framework is illustrated by a …

In this paper, we discuss several conceptual developments in travel demand modelling that
have the potential to enrich existing modelling frameworks. The alternative concepts and …

Discrete choice models such as logit and probit generally use the linear-in-attributes utility
functions. This paper proposes a methodology to describe the heterogeneity of decision …

This study is concerned with the prediction of travel behavior. Planning process needs
require predictions of travel flows at a level of aggregation which is relevant to the polities …

We introduce an extension of the discrete choice model to take into account individuals'
mental representation of a choice problem. We argue that, especially in daily activity and …

This section addresses two issues of direct relevance to choice modelling. They are (1)
whether the parameters should be fixed or random and (2) the definition of the alternatives …

Discrete choice models and, more recently, latent variable models have been widely applied
to problems in transportation, economics, geography, marketing, public policy and …