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...

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 usually ignore that consumers have more flexibility to adjust their schedule in the long run than in the short run. We are able to distinguish between long-run choices of travel routines and short-run choices of departure times...

Most evidence of hyperbolic discounting is based on violations of either stationarity or time consistency as observed in choice experiments. These choice reversals may however also result from time-varying discount rates. Hyperbolic discounting is a plausible explanation for choice reversals...

In stated choice (SC) data inconsistent and lexicographic choice behavior is often observed. It is sometimes recommended to remove data with these characteristics from the analysis. In this paper we reconsider this recommendation. In our data many respondents have inconsistent choice patterns,...

Social preference models were originally constructed to explain two things: why people spend money to affect the earnings of others and why the income of others influences reported happiness. We test these models in a novel experimental situation where participants face a risky decision that...

This paper proposes an alternative, dynamic framework for estimatingtime-varying values of travel time savings and values of schedule delay, in whichtime-preferences are represented as the time-varying excess willingness to pay(EWPT) to being in the one location, over being elsewhere. It is...

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...

This paper enriches existing valuation literature in a number of ways by presenting context-specific estimates of immaterial damage. First, it offers an estimation of value of statistical life (VOSL) in the context of a natural hazard (flooding). Next, as one of the contributions, alongside with...

A common way to determine values of travel time and schedule delay is by estimating departure time choice models using revealed preference (RP) data. The estimation of such models requires that (expected) travel times are known for both chosen as well as unchosen departure time alternatives. As...