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Title:

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

Accession Number:

00800141

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

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Order URL: http://worldcat.org/isbn/0309066972

Abstract:

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.

Supplemental Notes:

This paper appears in Transportation Research Record No. 1718, Activity Pattern Analysis and Exploration: Travel Behavior Analysis and Modeling.

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Timmermans, H
Arentze, T
Joh, C H

Pagination:

p. 27-33

Publication Date:

2000

Serial:

Transportation Research Record

Issue Number: 1718
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

0309066972

Features:

Figures (6) ; References (5) ; Tables (5)

Uncontrolled Terms:

Subject Areas:

Highways; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning

Files:

TRIS, TRB, ATRI

Created Date:

Oct 9 2000 12:00AM

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