Day-To-Day Travel Variability in the Commute Atlanta Study

Abstract

Traditional travel diary surveys collect one or two days of travel data from participant households. While cross-sectional travel diary surveys are useful in determining the overall average travel behavior of the regional population, they provide little insight into intra-household and intra-person trip variability. Longitudinal surveys are generally preferred for examining travel variability. The objective of this research effort is to study the intra-household travel variability observed in the Commute Atlanta Study. The Commute Atlanta Study is a GPS-based instrumented vehicle monitoring study that has collected vehicle trips from a fleet of approximately 500 vehicles in 260 representative households. The research effort uses travel data collected in the year 2004 for the Commute Atlanta Study. The average variability or deviation in the number of trips by a household in the Commute Atlanta Study was observed to be 3 trips/day. Demographic variables such as household size, household income, vehicles ownership, number of children, number of workers, and number of students have a significant effect on the day-to-day variability in the total number of household trips per day. The variability due to seasonal effects is controlled by separately analyzing travel data during specific

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