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...

Participants of a large-scale, real-life peak avoidance experiment have been asked to provide estimates of their average in-vehicle travel times for their morning commute. Comparing these reported travel times to the corresponding actual travel times, we find that travel times are overstated by...

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 difficulties to collect the data required for the model...

In a large-scale, real-life peak avoidance experiment, we asked participants to provide estimates of their average in-vehicle travel time during their morning commute. After comparing the reported travel times with the actual corresponding travel times, we found that the average travel times...

Earlier studies on scheduling behavior have mostly ignored that consumers have more flexibility to adjust their schedule in the long run than in the short run. We introduce the distinction between long‐run choices of travel routines and short‐run choices of departure times, using data from a...

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...