Passenger contact in public transit (PT) networks can be a key mediate in the spreading of
infectious diseases. This paper proposes a time-varying weighted PT encounter network to …

Researchers have compared machine learning (ML) classifiers and discrete choice models
(DCMs) in predicting travel behavior, but the generalizability of the findings is limited by the …

This study explores the aging population's behavior toward the adoption of and willingness
to pay (WTP) for autonomous vehicles (AVs), with a focus on the roles of attitudes and land …

Emerging autonomous vehicles (AV) can either supplement the public transportation (PT)
system or compete with it. This study examines the competitive perspective where both AV …

As autonomous vehicle (AV) technology advances, it is important to understand its potential
demand and user characteristics. Literature from stated preference surveys find that attitudes …

The emergence of autonomous vehicles (AVs) is anticipated to influence the public
transportation (PT) system. Many possible relationships between AV and PT are proposed …

The shared autonomous mobility-on-demand (AMoD) system is a promising business model
in the coming future which provides a more efficient and affordable urban travel mode …