Abstract
Frequency of activities categorized by work, work-related activity, education/training, personal shopping, recreation, and other personal business gives a characteristic measure for each individual, and it is therefore an important base variable for estimating demand in town and transport planning. In this context it is important to know whether the vector of category-specific activity frequencies is determined by personal, household, or residential location characteristics. These categories of characteristics display a hierarchical effects structure that is statistically analyzable only by means of a hierarchical analysis-of-variance model. The analysis of extensive data from household survey samples of 44000 and 400000 persons, respectively, in two different study areas shows that the obligatory activity levels (work, education/training) can be attributed almost exclusively to person-specific characteristics, and that 70% of the variance for the private activities of individuals can be attributed to personal characteristics, between 15–30% to household characteristics, and only up to 4% to locational characteristics.
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