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We estimate a revealed-preference scheduling model of morning peak behaviour that allows us to determine the impact of traffic information on traveler behaviour. Specifically, we distinguish between the marginal impact of expected travel times versus that of deviations from this expectation upon...
Persistent link: https://www.econbiz.de/10014193215
This paper proposes an alternative, dynamic framework for estimating time-varying values of travel time savings and values of schedule delay, in which time-preferences are represented as the time-varying excess willingness to pay (EWPT) to being in the one location, over being elsewhere. It is...
Persistent link: https://www.econbiz.de/10014224554
This paper analyzes the possibilities to relieve congestion using rewards instead of taxes, as well as combinations of rewards and taxes. The model considers a Vickrey-ADL model of bottleneck congestion with endogenous scheduling. With inelastic demand, a fine (time-varying) reward is equivalent...
Persistent link: https://www.econbiz.de/10014193583
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We study the trip scheduling preferences of train commuters in a real-life setting. The underlying data have been collected during large-scale peak avoidance experiment conducted in the Netherlands, in which participants could earn monetary rewards for traveling outside peak hours. The...
Persistent link: https://www.econbiz.de/10011295719
The traditional bottleneck model for road congestion promotes the implementation of a triangular, fully time varying, charge as the optimal solution for the road congestion externality. However, cognitive and technological barriers put a practical limit to the degree of differentiation real...
Persistent link: https://www.econbiz.de/10011381994
This paper analyzes the possibilities to relieve congestion using rewards instead of taxes, as well as combinations of rewards and taxes. The model considers a Vickrey-ADL model of bottleneck congestion with endogenous scheduling. With inelastic demand, a fine (time-varying) reward is equivalent...
Persistent link: https://www.econbiz.de/10011380921
We estimate a revealed-preference scheduling model of morning peak behaviour that allows us to determine the impact of traffic information on traveller behaviour. Specifically, we distinguish between the marginal impact of expected travel times versus that of deviations from this expectation...
Persistent link: https://www.econbiz.de/10011381015