Improved motif identification of activity sequences : application to interactive computer experiment data

Chang Hyeon Joh, Dick Ettema, Harry Timmermans

Research output: Contribution to journalArticleAcademicpeer-review

7 Citations (Scopus)

Abstract

This paper reports the main findings of a study conducted to improve the applicability of motif search to identify segments in activity-travel sequences. The improvement concerns the provision of a statistical criterion of identifying motifs as the key structural information of activity sequencing and simultaneous decisions of activity implementation. The suggested approach is applied to the data, originally collected using the interactive computerized procedure MAGIC to estimate the Simulation Model of Activity Scheduling Heuristics (SMASH) model. The results of the application illustrate that the suggested motif search method depicts the key structural information of activity patterns of a group and distinguishes among different patterns. The paper details the findings and ends with conclusions and a discussion.

Original languageEnglish
Pages (from-to)93-101
Number of pages9
JournalTransportation Research Record
Issue number2054
DOIs
Publication statusPublished - 1 Dec 2008

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