This paper presents a learning-based model of route-choice behavior when information is
provided in real time. In a laboratory controlled experiment, participants made a long series …

The accurate depiction and understanding of the travel behavior characteristics of public
transport (PT) commuters is an important foundation for better improving PT service and …

Understanding behavioral response and attitudes of car users towards pricing policies and
the public's acceptance of new pricing schemes are of the highest priority for generating a …

Spitsmijden (peak avoidance is Dutch) is a new travel demand measure introduced in the
Netherlands. It is based on rewarding frequent car commuters for avoiding the rush-hour …

This paper presents a model of departure time choice based on the notion of a latent
preferred arrival time using the peak-avoidance data of the Dutch „Spitsmijden‟ experiment …

Reducing congestion and improving the financial and environmental sustainability of urban
transport represent new challenges for transportation planners. It requires a better …

Recently, a new travel demand measure (Spitsmijden) was introduced in the Netherlands,
which is based on rewarding frequent car commuters to avoid the rush hour, using monetary …

This study collected five years of Magnetic Stripe Ticket (MST) data from 2011 to 2016 and
Opal card data from its introduction to the Sydney network in 2013. The paper analyses time …

Though only my name appears on the cover of this dissertation, a great many people have
contributed to its production. I owe my gratitude to all those people who have made this …

Several reward scheme–based projects implemented in the Netherlands have stimulated
car users to avoid using certain links of the network during peak hours. This paper reports …