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Experiments With A Computerized Self-Administrative Activity Survey

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  • Lee, Ming-Sheng

Abstract

The process of activity scheduling is crucial to the understanding of travel behavior changes. In-depth research is urgently needed to unearth this process. To reveal this process, a new computer program, REACT!, has been developed to collect household activity scheduling data. The program is implemented as a stand-alone program with Internet connectivity for remote data transmission. It also contains a GIS for location identification and a special feature that traces the decisions in scheduling process. A pilot study was conducted in Irvine, California to evaluate the program performance. Experience from the pilot study validated the program's capability of guiding participants to complete data entry tasks on their own, thus the objective of reducing the cost and human resource of such a computerized survey is achieved. Other positive results regarding objectives of reducing instrumental biases and expanding program capabilities were also obtained. Areas for improvement were also identified. Based on the pilot data, activities with shorter duration were found more likely to be opportunistically filled in a schedule already anchored by their longer duration counterparts. In addition, the situations (e.g., location, involved person, and day of the week) under which an activity occurred were found related to its scheduling horizon. Analyses were also performed to validate that the above findings hold in the presence of a third factor (i.e., in-home vs. out-of-home, and work/school vs. non-work/school). Additionally, analysis of tour structure reveals that a certain portion of trip-chains was formed opportunistically. The proportion of opportunistic stops tends to increase as stop sequence increase. Travel time required to reach an activity is also positively related to scheduling horizon of the activity, with distant stop being planned earlier.

Suggested Citation

  • Lee, Ming-Sheng, 2001. "Experiments With A Computerized Self-Administrative Activity Survey," University of California Transportation Center, Working Papers qt55h7r7x0, University of California Transportation Center.
  • Handle: RePEc:cdl:uctcwp:qt55h7r7x0
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    Cited by:

    1. Lee, Ming S. & McNally, Michael G., 2003. "On the structure of weekly activity/travel patterns," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(10), pages 823-839, December.
    2. Andrew Clark & Sean Doherty, 2010. "A multi-instrumented approach to observing the activity rescheduling decision process," Transportation, Springer, vol. 37(1), pages 165-181, January.
    3. Ruiz, Tomás & Timmermans, Harry, 2008. "Changing the duration of activities in resolving scheduling conflicts," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(2), pages 347-359, February.
    4. Tomás Ruiz & Harry Timmermans, 2006. "Changing the timing of activities in resolving Scheduling Conflicts," Transportation, Springer, vol. 33(5), pages 429-445, September.
    5. Auld, Joshua & Mohammadian, Abolfazl(Kouros), 2012. "Activity planning processes in the Agent-based Dynamic Activity Planning and Travel Scheduling (ADAPTS) model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(8), pages 1386-1403.
    6. Ming Lee & Michael McNally, 2006. "An empirical investigation on the dynamic processes of activity scheduling and trip chaining," Transportation, Springer, vol. 33(6), pages 553-565, November.
    7. Watcharasukarn, Montira & Page, Shannon & Krumdieck, Susan, 2012. "Virtual reality simulation game approach to investigate transport adaptive capacity for peak oil planning," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(2), pages 348-367.
    8. Gan, Li Ping & Recker, Will, 2008. "A mathematical programming formulation of the household activity rescheduling problem," Transportation Research Part B: Methodological, Elsevier, vol. 42(6), pages 571-606, July.

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    Keywords

    Social and Behavioral Sciences;

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