An empirical investigation on the dynamic processes of activity scheduling and trip chaining

Ming Lee () and Michael McNally ()

Transportation, 2006, vol. 33, issue 6, 553-565

Abstract: Investigation of the dynamic processes of activity scheduling and trip chaining has been an interest of transportation researchers over the past decade because of its relevance to the effectiveness of congestion management and intelligent transportation systems. To empirically examine the processes, a computerized survey instrument is developed to collect household activity scheduling data. The instrument is unique in that it records the evolution of activity schedules from intentions to final outcomes for a weekly period. This paper summarizes the investigation on the dynamic processes of activity scheduling and trip chaining based on data collected from a pilot study of the instrument. With the data, ordered logit models are applied to identify factors that are pertinent to the scheduling horizon of activities. Results of the empirical analysis show that a daily schedule often starts with certain activities occupying a portion of the schedule and other activities are then arranged around these pre-occupants. Activities of shorter duration are more likely to be opportunistically inserted in a schedule already anchored by their longer duration counterparts. Persons with children often expect more constraining activities than those with no children. The analysis also shows that female respondents tend to be more structured in terms of how the week is planned. Additionally, analysis of travel patterns reveals that many trip-chains are formed opportunistically. Travel time required to reach an activity is positively related to the scheduling horizon for the activity, with more distant stops being planned earlier than closer locations. Copyright Springer Science+Business Media B.V. 2006

Keywords: Travel behavior; Activity-based analysis; Activity scheduling; Trip chaining (search for similar items in EconPapers)
Date: 2006
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Citations: View citations in EconPapers (9)

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DOI: 10.1007/s11116-006-7728-1

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