期刊
TRAVEL BEHAVIOUR AND SOCIETY
卷 16, 期 -, 页码 161-170出版社
ELSEVIER
DOI: 10.1016/j.tbs.2019.05.005
关键词
Activity travel; Time-use; Activity spaces; Travel; Tracking
资金
- Atlantic Innovation Fund from the Atlantic Canada Opportunities Agency [181930]
This paper examines the weekday activity patterns and associated travel behaviour of urban residents grouped by similarity of their daily time-use profiles. We analyze the two-day in-home and out-of-home activity of respondents to the large STAR time-use and travel survey. The efficient Fuzzy C-Means (FCM) clustering algorithm yields 12 clusters of activity days grouped by homogeneous activity patterns. Six clusters are characterized as out-of-home workers, five as non-workers, and one as students. Time-stamped GPS-tracking of activity is employed to map out-of-home locations of individuals at key times in the day, which reveals considerable variation between the groups in their locational and temporal preferences. Worker groups cluster in employment areas, with 9-5 workers focused downtown and earlier-shift workers in suburban business parks. Non-workers are more dispersed, and more clustered in retail/service areas. Time-diary data also show clear variations in typical triptour behaviour, relating both to trip purposes and to tour complexity: non-worker groups take more tours, on average, but fewer complex tours.
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