Even as ride-hailing has become ubiquitous in most urban areas, its impacts on individual
travel are still unclear. This includes limited knowledge of demand characteristics (especially …

Considerable interest exists in modeling and forecasting the effects of autonomous vehicles
on travel behavior and transportation network performance. In an autonomous vehicle (AV) …

In this study, we model the telework-commute distance decision process as a package
choice, and use a latent segmentation approach to recognize that some individuals may …

Public transit is considered a sustainable mode of transport that can address automobile
dependency and provide environmental, economic, and societal benefits. However, with …

Residential self-selection has been acknowledged as a key issue underlining the link
between the built environment and travel behavior. Existing studies often implicitly assume …

Traditional multiple discrete–continuous (MDC) models generally predict the continuous
consumption quantity component reasonably component well, but not necessarily the …

The role of residential self-selection has become a major subject in the debate over the
relationships between the built environment and travel behavior. Numerous previous …

Due to the unavailability of prototypes, the early adopters of novel products actively seek
information from multiple sources (eg, media and social networks) to minimize the potential …

Residential self-selection (RSS) confounds the connection between the built environment
and travel behavior. Existing studies have used endogenous switching regression models to …

Smartphone ownership and use are becoming increasingly prevalent around the world.
However, little is known about the impacts of this technology on activity travel choices. The …