Computational Process Modeling of Disaggregate Travel Behavior
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 householdÂ° 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.
|Date of creation:||01 Jan 1996|
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- Amos Tversky & Daniel Kahneman, 1991. "Loss Aversion in Riskless Choice: A Reference-Dependent Model," The Quarterly Journal of Economics, Oxford University Press, vol. 106(4), pages 1039-1061.
- T GÃ¤rling & E GÃ¤rling, 1988. "Distance Minimization in Downtown Pedestrian Shopping," Environment and Planning A, , vol. 20(4), pages 547-554, April.
- Golledge, Reginald G., 1995. "Path Selection and Route Preference in Human Navigation: A Progress Report," University of California Transportation Center, Working Papers qt9jn5r27v, University of California Transportation Center.
- Golledge, Reginald G., 1995. "Defining the Criteria Used in Path Selection," University of California Transportation Center, Working Papers qt8js0w0bs, University of California Transportation Center.
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