Multivariate Marginal Frequency Analysis of Activity and Travel Patterns in First Four Waves of Puget Sound Transportation Panel

Abstract

An analysis of activity and travel patterns that explicitly accounts for transportation level of service via composite accessibility measures, land use type, and density around residence and workplace of survey participants in the Seattle region is presented. Using the Puget Sound Transportation Panel (PSTP) data, individuals' activity and travel patterns are first grouped into a few relatively homogeneous behavioral groups using cluster analysis. This is done to reduce the great diversity in individuals' behavior into a few representative patterns of behavior using activity and travel indicators simultaneously. Taking the contextual analysis approach, four-level multilevel models that include temporal, spatial, household, and person effects are constructed. The derived accessibility measures of individuals' residence and workplace are then included in the four-level multilevel pattern selection models to study the relationship between individuals' characteristics and their activity and travel pattern choices. The analysis is done by separating employed from unemployed persons and provides evidence that level of service and land use are strong determinants of activity participation and trip making. Their effect, however, depends on the person's employment status.

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