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The Impact of Real-Time Information on Choices During the Commute Trip: Evidence from a Travel Simulator

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  • IRENE CASAS
  • MEI-PO KWAN

Abstract

In the area of travel behavior, route choice when facing congestion has been widely researched. However, there are other behavioral alternatives based on people's activities and adaptive decision-making strategies that have been overlooked. This paper focuses on how and what kind of information is used when considering a subset of these alternatives. Alternatives examined are the final choice of people's decision-making process when faced with unexpected events during the commute trip in the presence of real-time information collected using GABRIEL (Gis Activity-Based tRavel sImuLator) in Columbus, OH. An empirical analysis of the data set, which includes a limited set of alternatives (six in total) is presented. Bivariate analysis and multinomial logit models are used to identify variables that influence the choice. Results show that people are willing to experiment with other alternatives if provided the information to support their choice. Copyright 2007 Blackwell Publishing.

Suggested Citation

  • Irene Casas & Mei-Po Kwan, 2007. "The Impact of Real-Time Information on Choices During the Commute Trip: Evidence from a Travel Simulator," Growth and Change, Wiley Blackwell, vol. 38(4), pages 523-543.
  • Handle: RePEc:bla:growch:v:38:y:2007:i:4:p:523-543
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    References listed on IDEAS

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    1. Chandra Bhat, 2001. "Modeling the Commute Activity-Travel Pattern of Workers: Formulation and Empirical Analysis," Transportation Science, INFORMS, vol. 35(1), pages 61-79, February.
    2. Richard H. M. Emmerink & Erik T. Verhoef & Peter Nijkamp & Piet Rietveld, 1996. "Endogenising demand for information in road transport," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 30(2), pages 201-222.
    3. Noland, Robert B., 1997. "Commuter Responses to Travel Time Uncertainty under Congested Conditions: Expected Costs and the Provision of Information," Journal of Urban Economics, Elsevier, vol. 41(3), pages 377-406, May.
    4. Jan Rouwendal, 2004. "Search Theory and Commuting Behavior," Growth and Change, Wiley Blackwell, vol. 35(3), pages 391-418.
    5. Arentze, Theo & Hofman, Frank & Timmermans, Harry, 2004. "Predicting multi-faceted activity-travel adjustment strategies in response to possible congestion pricing scenarios using an Internet-based stated adaptation experiment," Transport Policy, Elsevier, vol. 11(1), pages 31-41, January.
    6. Jan Rouwendal & Erik Meijer, 2001. "Preferences for Housing, Jobs, and Commuting: A Mixed Logit Analysis," Journal of Regional Science, Wiley Blackwell, vol. 41(3), pages 475-505.
    7. Mokhtarian, Patricia L. & Raney, Elizabeth A. & Salomon, Ilan, 1997. "Behavioral response to congestion: identifying patterns and socio-economic differences in adoption," Transport Policy, Elsevier, vol. 4(3), pages 147-160, July.
    8. Michael Anderson & Reginald Souleyrette, 2002. "Pseudo-dynamic travel model application to assess traveler information," Transportation, Springer, vol. 29(3), pages 307-319, August.
    9. Salomon, Ilan & Mokhtarian, Patricia L., 1997. "Coping with Congestion: Understanding the Gap Between Policy Assumptions and Behavior," University of California Transportation Center, Working Papers qt4bh3b670, University of California Transportation Center.
    10. Stopher, Peter R., 2004. "Reducing road congestion: a reality check," Transport Policy, Elsevier, vol. 11(2), pages 117-131, April.
    11. David Levinson, 2003. "The Value of Advanced Traveler Information Systems for Route Choice," Working Papers 200307, University of Minnesota: Nexus Research Group.
    12. Golob, Thomas F., 2001. "Joint models of attitudes and behavior in evaluation of the San Diego I-15 congestion pricing project," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(6), pages 495-514, July.
    13. Mokhtarian, Patricia L., 2004. "Reducing road congestion: a reality check--a comment," Transport Policy, Elsevier, vol. 11(2), pages 183-184, April.
    14. Cervero, Robert, 1991. "Congestion, Growth and Public Choices," University of California Transportation Center, Working Papers qt03b192b1, University of California Transportation Center.
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    Cited by:

    1. Chaug-Ing Hsu & Chia-Wen Li, 2016. "Travel and Activity Choices for Transit Travelers at Terminals with Dynamic Information Provision," Growth and Change, Wiley Blackwell, vol. 47(2), pages 296-311, June.

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