SEQUENTIAL, HISTORY-DEPENDENT APPROACH TO TRIP-CHAINING BEHAVIOR
The characteristics of trip-purpose chains are examined, and a sequential model of trip chaining, which consists of history-dependent probabilities of activity choice, is developed. Statistical analyses of the study indicate that there is a consistent hierarchical order in sequencing activities in a chain where less-flexible activities tend to be pursued in a chain tends to be homogeneous. Thus activity transitions are more organized and systematic than what a Markovian model would depict. Based on these findings, a sequential model of activity choice is formulated that, in spite of its simplified representation of the history of a chain, satisfactorily represents the observed behavior. Although the focus of the model is on direct linkages between activities, the model is capapble of representing those characteristics associated with the entire set of activities in a chain. The results of the study strongly support the sequential modeling approach and indicate its practical usefulness in the analysis of trip-chaining behavior.
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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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Corporate Authors:
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Authors:
- Kitamura, Ryuichi
- Publication Date: 1983
Media Info
- Media Type: Print
- Features: Figures; References; Tables;
- Pagination: pp 13-22
- 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; Statistical analysis; Travel behavior; Travel patterns; Trip chaining
- Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 00389946
- Record Type: Publication
- ISBN: 0309036658
- Files: TRIS, TRB
- Created Date: Nov 30 1984 12:00AM