A comprehensive, high-resolution model for out-of-home nonwork-activity generation is developed; it considers daily activity time-use behavior and activity timing preferences in a unified random utility framework. The empirical analysis is undertaken with data from the 2000 San Francisco, California, Bay Area Travel Survey. Several important household and commuter demographics, commute characteristics, and activity travel environment attributes are found to be significant determinants of workers’ nonwork-activity time use and timing behavior. The developed comprehensive model can serve as an activity-generation module in an activity-based travel demand microsimulation framework.
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