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Title: Identifying Skeletal Information of Activity Patterns by Multidimensional Sequence Alignment
Accession Number: 01047519
Record Type: Component
Record URL: Availability: Transportation Research Board Business Office 500 Fifth Street, NW Find a library where document is available Abstract: String-alignment techniques, which were introduced in biology to measure similarity between DNA strings or protein sequences, find increasing application in travel behavior research to analyze activity–travel patterns. This paper explores a method to identify common elements, referred to as skeletons, in multidimensional activity patterns by using a multidimensional string-alignment technique that the authors developed. The method identifies the skeletal information of the multidimensional activity patterns of a group and describes the results of an application to an activity diary set. The analysis reveals structural patterns in the activity patterns and well-interpretable differences in patterns between males and females. The method offers a promising approach to activity analysis.
Monograph Title: Monograph Accession #: 01088122
Language: English
Authors: Joh, Chang-HyeonArentze, TheoTimmermans, Harry J PPagination: pp 81-88
Publication Date: 2007
ISBN: 9780309104487
Media Type: Print
Features: Figures
(2)
; References
(15)
; Tables
(4)
TRT Terms: Uncontrolled Terms: Subject Areas: Highways; Planning and Forecasting; I72: Traffic and Transport Planning
Files: TRIS, TRB, ATRI
Created Date: Feb 8 2007 7:28PM
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