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Aspects of commuting behavior: Preferred arrival time, use of information and switching propensity

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  • Caplice, Chris
  • Mahmassani, Hani S.
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    Abstract

    This paper analyzes the results of a commuter behavior survey conducted in Austin, TX. Commuters' preferred arrival times at the workplace, use of traffic information and switching propensity (for both route and departure time) are discussed. Mathematical models are developed for each of these aspects relating them to three types of factors: traffic system characteristics, workplace conditions and individual attributes. The preferred arrival time at the workplace is modeled as a Poisson regression model, use of information as a binary logit function and switching decision as multinomial logit choice models. Comparisons are drawn between this sample and similar studies conducted in Seattle, WA.

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    File URL: http://www.sciencedirect.com/science/article/B6VG7-468C67N-1R/2/6ce51bb05ab8dadfce8dde538871f21a
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    Bibliographic Info

    Article provided by Elsevier in its journal Transportation Research Part A: Policy and Practice.

    Volume (Year): 26 (1992)
    Issue (Month): 5 (September)
    Pages: 409-418

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    Handle: RePEc:eee:transa:v:26:y:1992:i:5:p:409-418

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    Cited by:
    1. Timmermans, Harry & van der Waerden, Peter & Alves, Mario & Polak, John & Ellis, Scott & Harvey, Andrew S. & Kurose, Shigeyuki & Zandee, Rianne, 2002. "Time allocation in urban and transport settings: an international, inter-urban perspective," Transport Policy, Elsevier, vol. 9(2), pages 79-93, April.
    2. He, Sylvia Y., 2013. "Does flexitime affect choice of departure time for morning home-based commuting trips? Evidence from two regions in California," Transport Policy, Elsevier, vol. 25(C), pages 210-221.
    3. Chen, Ting-Yu & Chang, Hsin-Li & Tzeng, Gwo-Hshiung, 2001. "Using a weight-assessing model to identify route choice criteria and information effects," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(3), pages 197-224, March.

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