Abstract
A panel data set is analysed with the goal of identifying patterns of change in the use of various modes of transport. The data set, which represents a national sample of the Netherlands, is comprised of over 2000 individuals surveyed in three waves six months apart in 1984 and 1985. The data were processed in the form of categorical variables depicting use or non-use of each mode at each wave and were analysed using log-linear models. Results indicated that there were significant patterns of change for all of the modes studied. Some of these patterns were interpreted as representing seasonality, while others were interpreted as representing more fundamental adjustments in travel behavior.