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The hypothesis that daily travel-activity behavior is influenced by the role, life-cycle, and life-style attributes of individuals and households is examined. Daily travel-activity behavior is described by a five-state categorical variable which is defined by analytical classification of a sample of daily travel-activity patterns. The explanatory variables used in this study are age, marital status, gender, employment status, education level, presence of young children, auto-ownership, income, and residential density. Parametric maximum likelihood models of multiway contingency tables are used to test the hypothesized relationships. The statistical analyses confirm that personal daily travel-activity behavior is significantly influenced by the role, life-cycle, and life-style characteristics of individuals and their households. The statistical results also demonstrate that specific sociodemographically defined segments of the urban travel market have differential likelihoods of undertaking particular daily travel-activity patterns.

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