The formulation of hybrid discrete choice (HDC) models including both observable
alternative attributes and latent variables associated with attitudes and perceptions has …

Hybrid discrete choice (HDC) modeling requires indicators to allow for the identification of
latent variables. An indicator usually expresses the level of agreement of a respondent with …

The formulation of hybrid discrete choice models, including both observable alternative
attributes and latent variables associated with attitudes and perceptions, has become a topic …

The simultaneous estimation method has overtaken the sequential approach as the
preferred estimation method for hybrid discrete choice models. Notwithstanding, the …

It is well-known that not all the variables affecting decisions in a discrete choice situation are
objective characteristics of the alternatives. Some of them are associated with difficult to …

The main objective of this paper is to compare the consequences of treating the attitudinal
and perceptual indicators of hybrid discrete choice (HDC) models as continuous or ordinal …

The estimation of discrete choice models requires measuring the attributes describing the
alternatives within each individual's choice set. Even though some attributes are intrinsically …

Endogeneity often arises in discrete-choice models, precluding the consistent estimation of
the model parameters, but it is habitually neglected in practical applications. The purpose of …

This paper focuses on the discrete choice estimation problem, which involves multiple
objectives and testing a broad range of hypotheses that can affect both interpretability and …

The use of simulation techniques has been increasing in recent years in the transportation
and related fields to accommodate flexible and behaviorally realistic structures for analysis …