In the last ATRF meeting, we reported on preliminary analysis of a 28-day GPS survey. This paper reports on further analysis of the variability of travel behaviour by day of week and among individual persons. It provides insights as to the potential benefits of multi-day data for modelling travel behaviour and opens up the potential to undertake a variety of analyses that are not currently possible with one-day data. In this paper, we again examine the effect of additional days of measurement on such measures as the number of daily trips, the travel time per trip and per day, and the travel distance per day and per trip. We analyse the change in the means of each of these values as additional days of data are considered, and also the changes in the estimates of the variances of each statistic. We also separate out the effects of weekdays and weekend days, and consider the implications of these data on sample sizes for modelling purposes, and the likely effects on the goodness of fit of models built on multi-day data versus the more traditional one day of data. (a) For the covering entry of this conference, please see ITRD abstract no. E216058.
Samenvatting