University of California Transportation Center

In this paper we review attempts to develop CPM of individual travel behavior. CPM represent a linked set of computer programs together with appropriate databases which are designed to capture the essence of human decision making in different spatial situations. Used primarily for wayfinding and to simulate and predict travel behavior, CPMs bypass the difficult problems of IIA typically attributed to discrete choice models. They also allow greater emphasis on the cognitive components of decision making including cognitive maps, preferences, and departure from utility maximizing and linearity in the considerations of alternative paths and alternative destinations. The CPM illustrated herein focuses on multiperson households and models travel behavior before and after telecommuting takes place in the household° Sets of feasible alternative destinations for travel purposes are derived using GIS procedures such as buffering and path selection. Shortcomings and possible future developments of such models are then discussed.