Abstract :
[en] In modern societies, mobility is considered to be vital for human
development. In order to lead an efficient policy and achieve environmental goals,
governments require reliable predictions of travel behavior. In this paper, the travel
time expenditure in Flanders is investigated. The focus is put on the time spent on
commuting. Two modeling approaches are used for the analysis of daily travel time
expenditure, namely the Poisson regression approach and the classical linear
regression approach. In this paper it is shown that socio-demographics, day-effects
and transportation preferences are contributing significantly in the explanation of
variability in daily commuting time and that multiplicative effects of the transportation
preferences form good approximations of the travel time ratios.
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