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Investigation of Traveler Information and Related Travel Behavior in the San Francisco Bay Area

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  • Khattak, Asad J.
  • Targa, Felipe
  • Yim, Youngbin

Abstract

Advanced Traveler Information Systems are becoming an integral part of urban transportation systems. This paper discusses issues related to how people access, acquire and use travel information. The perceived benefits and willingness to pay for dynamic information are discussed. Empirical evidence from a major field operational test is examined to answer questions about why, how and who uses travel information. Empirical evidence suggests that information helps travelers to switch routes and departure time. The potential for information benefits is perhaps higher in cases of unexpected incidents. However, only one-third of the Target survey respondents changed their travel decisions in response to the incident. While this is a significant number in terms of demand reduction due to information, perhaps the full benefits of dynamic information are not realized because the quality of information available in just such situations is relatively low. New information media can focus on variables that are sensitive to travel-time uncertainty in order to improve the quality of information in high-uncertainty situations.

Suggested Citation

  • Khattak, Asad J. & Targa, Felipe & Yim, Youngbin, 2003. "Investigation of Traveler Information and Related Travel Behavior in the San Francisco Bay Area," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt4bx077j9, Institute of Transportation Studies, UC Berkeley.
  • Handle: RePEc:cdl:itsrrp:qt4bx077j9
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    References listed on IDEAS

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    1. Koo, Ronald & Yim, Y. B., 2001. "TravInfo Evaluation: Traveler Response Element; TravInfo 817-1717 Caller Study; Phase 2 Results," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt28c4n9cc, Institute of Transportation Studies, UC Berkeley.
    2. Miller, Mark & Loukakos, Dimitri, 1998. "Trav Info Evaluation (Technology Element ) Traveler Information Center (TIC) Study: System Reliability and Communications Interface," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt1716f3p1, Institute of Transportation Studies, UC Berkeley.
    3. Al-deek, Haitham, 1988. "Potential Benefits Of In-vehicle Information Systems In A Real Life Freeway Corridor Under Recurring And Incident-induced Congestion," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt3ft304p2, Institute of Transportation Studies, UC Berkeley.
    4. Khattak, Asad J. & Schofer, Joseph L. & Koppelman, Frank S., 1993. "Commuters' enroute diversion and return decisions: Analysis and implications for advanced traveler information systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 27(2), pages 101-111, April.
    5. Yim, Y. B. & Hall, R. & Weissenberger, S., 1997. "Travinfo Evaluation: Traveler Response Element Broad Area Study," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt2xk8773b, Institute of Transportation Studies, UC Berkeley.
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