In recent decades, transportation planning researchers have used diverse types of machine
learning (ML) algorithms to research a wide range of topics. This review paper starts with a …

Many experts believe the transport system is about to change dramatically. This change is
due to so-called fully-automated vehicles (AVs). However, at present, there are numerous …

Relative advantage, or the degree to which a new technology is perceived to be better than
an existing technology which is being replaced, has a significant impact on individuals' …

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) …

Previous studies have indicated that travel satisfaction-the experienced emotions during,
and cognitive evaluation of, a trip-can be affected by travel mode choice and other trip …

This paper presents a behavioral model of public, revealed preferences (RP) for various
types of electric vehicles (EVs) while accounting for a latent (green) travel pattern construct …

Abstract Introduction Public Transport users have diverse mobility needs and preferences on
how to meet those needs. While this is consistent with typical standards for both academic …

Extensive studies were conducted to understand package tour participants, but little is
known about the selection and trade-off for a specific tour versus another. A stated choice …

We model consumer switching in retail electricity markets in New Zealand to identify
important determinants of switching and estimate willingness to pay (WTP) for six non-price …

Sidewalk cyclists are a major concern to planners in many cities around the world: they are
considerable in numbers, and increase the risk of injury not only to pedestrians but also to …