UC Irvine Institute of Transportation Studies

This paper documents the prototype development, application, and validation of a pattern synthesis model based on activity-travel pattern classifications. The technique proposed is a microsimulation approach to construct daily activity patterns for individuals established on empirical distributions of representative activity patterns and distributions of additional travel characteristics contained by every pattern. The method clearly recognizes the complex, stochastic nature of activity-travel behavior in terms of activity generation, spatial choice, and scheduling components. A successful application of the model is outlined using data from the 1994 Portland Activity Travel Survey.