TRB Pubsindex
Text Size:

Title:

Identifying Skeletal Information of Activity Patterns by Multidimensional Sequence Alignment
Cover of Identifying Skeletal Information of Activity Patterns by Multidimensional Sequence Alignment

Accession Number:

01047519

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States
Order URL: http://www.trb.org/Main/Public/Blurbs/159663.aspx

Find a library where document is available


Order URL: http://worldcat.org/isbn/9780309104487

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 Accession #:

01088122

Language:

English

Authors:

Joh, Chang-Hyeon
Arentze, Theo
Timmermans, Harry J P

Pagination:

pp 81-88

Publication Date:

2007

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2021
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309104487

Media Type:

Print

Features:

Figures (2) ; References (15) ; Tables (4)

Subject Areas:

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

Files:

TRIS, TRB, ATRI

Created Date:

Feb 8 2007 7:28PM

More Articles from this Serial Issue: