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Real-time tracking of activity scheduling/schedule execution within a unified data collection framework


  • Zhou, Jianyu (Jack)
  • Golledge, Reginald


One of the major foci in transport research is the identification of the temporal-spatial decision making structure embedded in activity scheduling and its linkage to actual activity execution. The latter part of the research in question has not been explored explicitly in real life situations due to the lack of effective data collection means. This paper presents a real-time activity scheduling, activity/travel survey system that incorporates the extraction of activity scheduling and the execution information within one unified data collection framework. These "revealed" data can be used for explicitly defining the mechanism of how people's activity schedules dynamically adapt to social-demographic and temporal-spatial constraints and finally lead to the observed activity-travel patterns.

Suggested Citation

  • Zhou, Jianyu (Jack) & Golledge, Reginald, 2007. "Real-time tracking of activity scheduling/schedule execution within a unified data collection framework," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(5), pages 444-463, June.
  • Handle: RePEc:eee:transa:v:41:y:2007:i:5:p:444-463

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    References listed on IDEAS

    1. Lee, Ming S. & Sabetiashraf, Ramesh & Doherty, Sean T. & Rindt, Craig R. & McNally, Michael G., 2001. "Conducting an Interactive Survey of Household Weekly Activities via Internet: Preliminary Results from a Pilot Study," University of California Transportation Center, Working Papers qt6hp3392c, University of California Transportation Center.
    2. Tommy Gärling & Robert Gillholm & William Montgomery, 1999. "The role of anticipated time pressure in activity scheduling," Transportation, Springer, vol. 26(2), pages 173-191, May.
    3. T Gärling & T Kalén & J Romanus & M Selart & B Vilhelmson, 1998. "Computer Simulation of Household Activity Scheduling," Environment and Planning A, , vol. 30(4), pages 665-679, April.
    4. Sean Doherty & Eric Miller, 2000. "A computerized household activity scheduling survey," Transportation, Springer, vol. 27(1), pages 75-97, February.
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    Cited by:

    1. 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.
    2. Chen, Cynthia & Gong, Hongmian & Lawson, Catherine & Bialostozky, Evan, 2010. "Evaluating the feasibility of a passive travel survey collection in a complex urban environment: Lessons learned from the New York City case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(10), pages 830-840, December.
    3. 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.

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