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.
Identifying Skeletal Information of Activity Patterns by Multidimensional Sequence Alignment
Transportation Research Record: Journal of the Transportation Research Board
Transportation Research Record: Journal of the Transportation Research Board ; 2021 , 1 ; 81-88
01.01.2007
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Identifying Skeletal Information of Activity Patterns by Multidimensional Sequence Alignment
Online Contents | 2007
|Activity pattern similarity: a multidimensional sequence alignment method
Online Contents | 2002
|Activity Patterns of Canadian Women: Application of ClustalG Sequence Alignment Software
Transportation Research Record | 2001
|