Abstract This paper presents a methodology for the analysis of travel/activity patterns based on a classification procedure in which the set of measurements that define human movement is represented by a pattern vector. Transformation techniques are then applied to the pattern vectors to develop a taxonomy for the pattern space. Subsequent inversion of the transformed patterns yields representative activity patterns that can be related to socioeconomic and urban form characteristics. Pattern recognition theory is demonstrated to be an effective means by which complex travel/activity patterns can be transformed into a structurally simpler space for purposes of planning and analysis.
Travel/activity analysis: Pattern recognition, classification and interpretation
Transportation Research Part A: General ; 19 , 4 ; 279-296
1984-11-27
18 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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