A common way to determine values of travel time and schedule delay is to estimate departure time choice models, using stated preference (SP) or revealed preference (RP) data. The latter are used less frequently, mainly because of the di fficulties to collect the data required for the model...

Theoretical and empirical studies of consumer scheduling behavior in commuting, and the associated valuation of time and schedule delays usually ignore that consumers have more exibility to adjust their schedule in the longer run than in the shorter run, implying that also these valuations may...

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...

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...

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...

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...