We discuss the development of predictive choice models that go beyond the random utility
model in its narrowest formulation. Such approaches incorporate several elements of …

The community of choice modellers has expanded substantially over recent years, covering
many disciplines and encompassing users with very different levels of econometric and …

This study gains insight into individual motivations for choosing to own and use autonomous
vehicles and develops a model for autonomous vehicle long-term choice decisions. A stated …

Shared micromobility services (e-scooters, bikes, e-bikes) have rapidly gained popularity in
the past few years, yet little is known about their usage. While most previous studies have …

The Hybrid Choice Model (HCM) is a modeling framework that attempts to bridge the gap
between discrete choice models and behavioral theories by representing explicitly …

This book describes the new generation of discrete choice methods, focusing on the many
advances that are made possible by simulation. Researchers use these statistical methods …

Discrete choice models in general, and random utility models in particular, have been
extensively used in several fields of applications for the last three decades. The theoretical …

Researchers have long been focused on enriching Random Utility Models (RUMs) for a
variety of reasons, including to better understand behavior, to improve the accuracy of …

Many consumer choice situations are characterized by the simultaneous demand for
multiple alternatives that are imperfect substitutes for one another. A simple and …

Due to digitalization trends and rapid technological development, cars are becoming more
technologically advanced with an on-going trend towards fully automated vehicles …