This open access book offers up-to-date advice and practical guidance on how to undertake
a discrete choice experiment as a tool for environmental valuation. It discusses crucial …

Highway accidents are complex events that involve a variety of human responses to external
stimuli, as well as complex interactions between the vehicle, roadway features/condition …

This paper employs a correlated random parameters ordered probit modeling framework to
explore time-variant and time-invariant factors affecting injury-severity outcomes in single …

The automotive industry is witnessing a revolution with the advent of advanced vehicular
technologies, smart vehicle options, and fuel alternatives. However, there is very limited …

Maximum simulated likelihood is the preferred estimator of most researchers who deal with
discrete choice. It allows estimation of models such as mixed multinomial logit (MXL) …

One of the key aspects of graduated driver licensing programs is the new-driver experience
gained in the presence of a guardian (a person providing mandatory supervision from the …

The likelihood functions of multinomial probit (MNP)-based choice models entail the
evaluation of analytically-intractable integrals. As a result, such models are usually …

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

In the current paper, we propose a new multinomial probit-based model formulation for
integrated choice and latent variable (ICLV) models, which, as we show in the paper, has …

The treatment of heterogeneity across individual decision makers is one of the key topics of
research in choice modelling, as evidenced by many of the chapters in this book. While, in …