ANALYTICALLY DERIVED CLASSIFICATIONS OF DAILY TRAVEL-ACTIVITY BEHAVIOR: DESCRIPTION, EVALUATION, AND INTERPRETATION

摘要: One phase of a research study designed to enhance our understanding urban travel behavior is discussed. In particular, this paper comprises the description, evaluation, and interpretation analytically derived classifications daily travel-activity behavior. A methodology that facilitates systematic identification groups similar patterns used derive typologies reported examined here. This applied sample 236 drawn from Baltimore demand data set. Each observations described by set stops made in 24-h period; each stop characterized activity time day. The explores hypothesis can usefully be its membership limited number interpretable general classes. results here show grouped into between 12 5 relatively homogeneous while retaining 64 46 percent information data. also clusters may interpreted defining small representative for group. classes are define categorical response variable use models analyses