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activity patterns Activityd analyzed approach Chapter Charles River Associates classes of daily cluster centroids conceptual framework considered contingency table daily travel daily travel/activity behavior daily travel/activity patterns defined derived demand described discussed effect eigenroots eigenvectors employment status equal equation Euclidean space examined explanatory variables gender group of representative home-based hypothesized identified individual information explained inter-object linkages log-linear model mean square difference method of principal mode choice number of clusters number of groups number of stops objects obtained positive semi-definite Primary Sample Principal Coordinates Analysis relationships response variable results reported role root mean square score secondary attributes secondary sample sequence set of travel/activity similarity index similarity matrix single representative pattern socio-demographic characteristics step sum of squares traffic analysis zone transportation travel patterns travel/activity pattern types trip unit of analysis urban travel behavior urban travel demand Ward's algorithm zero