The effectiveness of congestion charges and parking prices as monetary disincentives to
reduce car traffic and alleviate congestion in highly demanded urban areas is investigated …

Real-time travel information design with inadequate consideration of human factors can lead
to driver distraction and diminish road safety. This study measures drivers' brain electrical …

Cities are currently engaged through their urban policies in pushing people towards less
environmentally impacting mobility modalities: therefore, cycling and walking are strongly …

In this paper, we examined travelers' dynamic mode choice behavior under travel time
variability. We found travelers' inconsistent risk attitudes through a binary mode choice …

Travel time is the main factor affecting individuals' travel-related decisions. Understanding
the way people experience and estimate travel time is critical for a better insight regarding …

Abstract Advanced Traveler Information Systems (ATIS) have the potential to maximize the
operating efficiency of existing transportation infrastructure. Such systems rely on the …

To better capture typical individual response modes under strategic uncertainty in
congestible networks, we conducted laboratory experiments in a network with two parallel …

This paper investigates the impact of decision maker's experience on model elasticities and
predicted market share, using data collected in Sydney on commuter mode choice. Usage …

Understanding user's perception of service variability is essential to discern their overall
perception of any type of (transport) service. We study the perception of waiting time …

Reducing car use through positive intervention strategies using smartphone apps has
attracted a great deal of attention. A common intervention strategy is bicycle use, which is …