Travelers always perform some preference during the decision-making process. The
preference will affect the decision results and can be improved by continuously learning. In …

Demand responsive transit (DRT) with app‐based reservation platforms is experiencing a
renaissance to bring the tremendous potential for mobility in the urban universe …

Origin-destination (OD) demands for a city or a region are essential input to many
transportation applications. For a real-world transportation network, the OD demand matrix …

Autonomous vehicle (AV) technology is likely to bring unprecedented change to existing
transport systems due to its potential to enhance safety and efficiency. Nevertheless, before …

This paper examines the effects of boundedly rational decision characteristics on travelers'
route choice behavior. The concept of boundedly rational confidence level (BRCL) is …

Among the discrete choice contexts discussed in the transportation literature, route choice is
particularly challenging, for which several model structures with different assumptions were …

With governments worldwide emphasizing environmental protection and the global focus on
carbon reduction, the battery electric vehicle (BEV) industry has developed rapidly. An urban …

A history of urban travel demand modeling (UTDM) and its enormous influence on American
life from the 1920s to the present. For better and worse, the automobile has been an integral …

The resurgence of demand-responsive transit (DRT) has been pushed toward a more
sharable and user-friendly mobility service to reshape the urban mobility ecosystem …

It is important to understand the mechanism of travel location choices, since the dynamic
individual behavior would lead to the evolution of the network. The existing location choice …