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A multi-instrumented approach to observing the activity rescheduling decision process

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Author Info

  • Andrew Clark
  • Sean Doherty

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    Abstract

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    File URL: http://hdl.handle.net/10.1007/s11116-009-9225-9
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    Bibliographic Info

    Article provided by Springer in its journal Transportation.

    Volume (Year): 37 (2010)
    Issue (Month): 1 (January)
    Pages: 165-181

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    Handle: RePEc:kap:transp:v:37:y:2010:i:1:p:165-181

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    Web page: http://www.springerlink.com/link.asp?id=103007

    Related research

    Keywords: Rescheduling; Activities; Decision process; GPS; Prompted recall diary;

    References

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    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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    1. Tomás Ruiz & Harry Timmermans, 2006. "Changing the timing of activities in resolving Scheduling Conflicts," Transportation, Springer, vol. 33(5), pages 429-445, 09.
    2. Roorda, Matthew J. & Miller, Eric J. & Habib, Khandker M.N., 2008. "Validation of TASHA: A 24-h activity scheduling microsimulation model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(2), pages 360-375, February.
    3. Sean Doherty & Eric Miller, 2000. "A computerized household activity scheduling survey," Transportation, Springer, vol. 27(1), pages 75-97, February.
    4. 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.
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    Cited by:
    1. Habib, Khandker Nurul & Sasic, Ana & Weis, Claude & Axhausen, Kay, 2013. "Investigating the nonlinear relationship between transportation system performance and daily activity–travel scheduling behaviour," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 342-357.
    2. Doherty, Sean T. & Lemieux, Christopher J. & Canally, Culum, 2014. "Tracking human activity and well-being in natural environments using wearable sensors and experience sampling," Social Science & Medicine, Elsevier, vol. 106(C), pages 83-92.

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