Endogeneity and correlated alternatives are major concerns to be addressed in travel
behavior analysis. However, these issues have rarely been dealt with simultaneously in …

The multinomial logit model in discrete choice analysis is widely used in transport research.
It has long been known that the Gumbel distribution forms the basis of the multinomial logit …

To represent the behavior of travelers when they are deciding how they are going to get to
their destination, discrete choice models, based on the random utility theory, have become …

__Abstract__ Multinomial choices of individuals are likely to be correlated. Nonetheless,
econometric models for this phenomenon are scarce. A problem of multivariate multinomial …

This paper developed a mixed multinomial probit (MMNP) model with alternative error
specification and random coefficients (for both generic variables and personal attributes) to …

This paper formulates a multidimensional choice model system that is capable of handling
multiple nominal variables, multiple count dependent variables, and multiple continuous …

Several non-linear functions and machine learning methods have been developed for
flexible specification of the systematic utility in discrete choice models. However, they lack …

Microeconometric discrete choice models aim to explain the process of individual choice by
consumers among a mutually exclusive, exhaustive and finite group of alternatives. Hybrid …

Choice models attempt to analyze decision marker's preferences amongst alternatives. We'll
primarily address the binary case to simplify the illustrations though in principle any number …

Modeling travel behavior is a key aspect of demand analysis, where aggregate demand is
the accumulation of individuals' decisions. In this chapter, we focus on" short-term" travel …