Identifying skeletal information of activity patterns of a group

C.H. Joh, T.A. Arentze, H.J.P. Timmermans

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String-alignment techniques, which were originally introduced in biology to measure similarity between DNA strings or protein sequences, find increasing application in travel behavior research to analyze activity/travel patterns. In this paper, we explore a method to identify common elements, referred to as skeletons, in multi-dimensional activity patterns by using a multi-dimensional string alignment technique the authors previously developed. We show how the new method identifies the skeletal information of the multi-dimensional activity patterns of a group and describe 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. We conclude that the new method offers a promising approach to activity analysis.
Original languageEnglish
Title of host publicationProceedings of the TRB 86th Annual Meeting Compendium of Papers CD-ROM, 21-25 January 2007, Washington DC, United States
Place of PublicationWashington, DC
PublisherTransportation research record
PagesPaper #07-2772
Publication statusPublished - 2007
Event86th Transportation Research Board Annual Meeting - Washington, United States
Duration: 21 Jan 200725 Jan 2007


Conference86th Transportation Research Board Annual Meeting
Country/TerritoryUnited States


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