We develop an econometric framework for incorporating spatial dependence in integrated
model systems of latent variables and multidimensional mixed data outcomes. The …

This paper formulates a generalized heterogeneous data model (GHDM) that jointly handles
mixed types of dependent variables—including multiple nominal outcomes, multiple ordinal …

There is growing interest in multivariate dependent outcome models that include a mixture of
different kinds of discrete and continuous variables. This may be attributed to at least two …

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 …

Modeling the interaction between the built environment and travel behavior is of much
interest to transportation planning professionals due to the desire to curb vehicular travel …

Activity-travel choices of individuals are influenced by spatial dependency effects. As
individuals interact and exchange information with, or observe the behaviors of, those in …

This study proposes a simple and practical Composite Marginal Likelihood (CML) inference
approach to estimate ordered-response discrete choice models with flexible copula-based …

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 integrated modeling of land use and transportation choices involves analyzing a
continuum of choices that characterize people's lifestyles across temporal scales. This …

The relationship between built environment and travel behaviour has been a topical subject
of academic debate over the last two decades. This has given rise to a plethora of empirical …