Abstract
Significant progress has been made in the analysis of space—time diary data. Drawing on the flexibility that such data provide, in this study the authors group respondents at five different levels of aggregation, and compare them according to their mean and standard deviation values for selected measures of travel behaviour. The measures, derived from the time—geography model, relate to the range and speed of daily movement and to the duration of activities. Wide variation in values were observed among subpopulations and role groups at each level of aggregation and, in general, these increased for higher levels of disaggregation. Graphic plots of the mean and standard deviation values permit evaluations of the effects of aggregation and provide a basis for identification of relationships between respondents' sociodemographic characteristics and their travel behaviour.
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