IDENTIFYING TIME AND HISTORY DEPENDENCIES OF ACTIVITY CHOICE
In this study a sequential model of activity patterns is formulated that consists of time- and history-dependent models of activity choice. This analytical framework is used to identify time-of-day and history-dependent characteristics of activity choice by statictically testing a series of hypotheses. The results indicate that the simplest expression of the history of activity engagements is an adequate descriptor, and also that non-home-based activity choice is conditionally independent of the activities in the previous chains, given the activities pursued in the current trip chain. Interdependencies of activity types across trip chains are also characterized by estimated model coefficients. The results of the study indicate that the decisions associated with the entire activity pattern can be decomposed into interrelated activity choices whose conditional dependencies can be statistically evaluated.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/0309036658
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Supplemental Notes:
- Publication of this paper sponsored by Committee on Traveler Behavior and Values. Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved
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Authors:
- Kitamura, Ryuichi
- Kermanshah, Mohammad
- Publication Date: 1983
Media Info
- Media Type: Print
- Features: Figures; References; Tables;
- Pagination: pp 22-30
- Monograph Title: TRANSPORTATION FORECASTING: ANALYSIS AND QUANTITATIVE METHODS
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Serial:
- Transportation Research Record
- Issue Number: 944
- Publisher: Transportation Research Board
- ISSN: 0361-1981
Subject/Index Terms
- TRT Terms: Mathematical models; Recreation; Shopping; Travel behavior; Travel patterns; Trip chaining
- Subject Areas: Highways; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 00389947
- Record Type: Publication
- ISBN: 0309036658
- Files: TRIS, TRB
- Created Date: Nov 30 1984 12:00AM