Standard practice in econometric estimation of the value of travel-time cha
nges divides travellers into market segments and assumes linear utility fun
ctions in each category. Here instead we derive a RUM-model from a second-o
rder approximation to the utility function. The model is estimated by probi
t on data from a recent SP value-of-travel-time study. The influence of soc
io-economic variables, trip duration, and so on, on the value of travel-tim
e changes is estimated and tested. Our conclusions differ in several ways f
rom those of a previous study evaluating the same dataset with the conventi
onal method. We find a considerably lower value of travel-time savings and
signs of a cognitive threshold; respondents decline travel time savings sma
ller than 10-15 minutes irrespectively of the bid price. The non-linear app
roach also provides a convenient means for benefits transfer, that is, to c
alculate the mean value of time savings for a specific road project, depend
ing on how it will be used, and by whom.