Electric mobility is a potential solution to address the environmental challenges posed by
climate change. In addition, car-sharing can serve as a solution to local problems, such as …

Efficient experimental designs aim to maximise the information obtained from stated choice
data to estimate discrete choice models' parameters statistically efficiently. Almost without …

Animal-vehicle collisions (AVCs) are common around the world and result in considerable
loss of animal and human life, as well as significant property damage and regular insurance …

Disaggregate behavioural models have been applied to travel demand analysis since 1970
(McFadden 2001a, 2001b). At that time, major changes in transportation systems that could …

The mixed multinomial logit model assumes constant preference parameters of a decision-
maker throughout different choice situations, which may be considered too strong for certain …

This research aims to improve the understanding on the long-term impacts of driverless
autonomous vehicles (AVs) and connected-autonomous vehicles (CAVs) on travel demand …

Smart, personal devices that interact with individuals make it possible to trigger desired
behavioral changes with personalized incentives. Personalized incentives are the incentives …

In recent years, the rapid technological innovations of smart personal technologies have
given rise to the growth of smart apps that can interact with users and implement …

The mixed multinomial logit (MMNL) model assumes constant preference parameters of a
decisionmaker throughout different choice situations, which may be considered too strong …

This study examines logit models applied to the truck route choice problem with data from
the Dallas metropolitan area. Instead of assuming a fixed coefficient of a variable in the …