This paper reports some main findings of a study that was 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 MAGICto estimate the SMASH model. The results of the application illustrate that the suggested motif search method well depicts the key structural information of activity patterns of a group and distinguishes among different pattern groups. The paper details the findings and ends with conclusions and a discussion.
Samenvatting