The modelling carried out in the Danish Value of Time Study in relation to a binary route choice experiment using a sample of more than 6000 respondents, covering seven main modes is described. The modelling effort had todeal with a number of issues that arise in these circumstances. The aim of the paper is to describe the application of an integrated approach to achieve this.First, the main driver for individual responses is the individual value of travel time savings (VTTS). The VTTS is determined up to the random component by three groups of variables, relating to the experimentaldesign, trip characteristics and socioeconomics. Among the trip characteristics mode, trip duration and the share of congested time (in car) are examined it is argued that the latter should be interpreted as a socioeconomic indicator. Among the socioeconomics, the effect of income, age, sex, family type, trip purpose, employer-paid trips and interview type on the VTTS are investigated. The latter is relevant since 70% of the interviews were carried out over the internet while the remainder were face-to-face. The second main issue is the distribution of the VTTS. Finally, as a check on the validity of our results, we compare our estimates of mean VTTS to income data are compared. For the covering abstract see ITRD E135582.
Abstract