MODELING LEARNING AND EVOLUTIONARY ADAPTATION PROCESSES IN ACTIVITY SETTINGS: THEORY AND NUMERICAL SIMULATIONS

The development of a conceptual framework to build a model of multifaceted choices underlying activity behavior is described. The conceptual framework views individuals developing stereotype behavior or scripts over time by learning. Various principles of learning as a function of state-dependent variables and as a function of latent behavior and adjustment principles are developed and formalized. The focus is on modeling long-term dynamics in activity choice heuristics. Theory, illustrated by a set of numerical experiments, is developed.

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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/0309066972
Supplemental Notes:
- This paper appears in Transportation Research Record No. 1718, Activity Pattern Analysis and Exploration: Travel Behavior Analysis and Modeling.
Corporate Authors:
Transportation Research Board

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Washington, DC United States 20001
Authors:
- Timmermans, H
- Arentze, T
- Joh, C H
Publication Date: 2000

Language

English

Media Info

Features: Figures; References; Tables;
Pagination: p. 27-33
Serial:
- Transportation Research Record
- Issue Number: 1718
- Publisher: Transportation Research Board
- ISSN: 0361-1981

Subject/Index Terms

TRT Terms: Activity choices; Adaptation (Psychology); Learning; Mathematical models; Theory; Travel behavior
Uncontrolled Terms: Numerical simulations
Subject Areas: Highways; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning;

Filing Info

Accession Number: 00800141
Record Type: Publication
ISBN: 0309066972
Files: TRIS, TRB, ATRI
Created Date: Oct 9 2000 12:00AM