IDEAS home Printed from https://ideas.repec.org/p/cdl/itsrrp/qt4bx077j9.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/4bx077j9.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Motamed, Moggan & Machemehl, Randy B., 2013. "Traveler Path Choice During Freeway Closure," 54th Annual Transportation Research Forum, Annapolis, Maryland, March 21-23, 2013 206956, Transportation Research Forum.
    2. Zhang, Michael & Shen, Wei & Nie, Yu & Ma, Jingtao, 2008. "Integrated Construction Zone Traffic Management," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt1bd50918, Institute of Transportation Studies, UC Berkeley.
    3. Skabardonis, Alexander, 1991. "Control Strategies And Route Guidance In Signal Controlled Networks," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt8q85332b, Institute of Transportation Studies, UC Berkeley.
    4. Eskafi, Farokh H., 1996. "Modeling And Simulation Of The Automated Highway System," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt11m6t11p, Institute of Transportation Studies, UC Berkeley.
    5. Richard H. M. Emmerink & Paul van Beek, 1997. "Empirical Analysis of Work Schedule Flexibility: Implications for Road Pricing and Driver Information Systems," Urban Studies, Urban Studies Journal Limited, vol. 34(2), pages 217-234, February.
    6. Rockwell International Science Center, 1992. "Potential Payoffs From Ivhs: A Framework For Analysis," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt7gf7j8n2, Institute of Transportation Studies, UC Berkeley.
    7. Chorus, Caspar G. & Arentze, Theo A. & Molin, Eric J.E. & Timmermans, Harry J.P. & Van Wee, Bert, 2006. "The value of travel information: Decision strategy-specific conceptualizations and numerical examples," Transportation Research Part B: Methodological, Elsevier, vol. 40(6), pages 504-519, July.
    8. Sophie Dantan & Julie Bulteau & Isabelle Nicolaï, 2015. "Hurried or Risk-adverse Travelers: who will Pay More for Multimodal Information?," Post-Print hal-01710058, HAL.
    9. Kucharski, Rafał & Gentile, Guido, 2019. "Simulation of rerouting phenomena in Dynamic Traffic Assignment with the Information Comply Model," Transportation Research Part B: Methodological, Elsevier, vol. 126(C), pages 414-441.
    10. Chira-Chavala, T. & Lin, W. H., 1992. "Feasibility Study Of Advanced Technology Hov Systems: Volume 3: Benefit Implications Of Alternative Policies For Including Hov Lanes In Route Guidance Networks," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt2th4t2wk, Institute of Transportation Studies, UC Berkeley.
    11. Caspar Chorus & Theo Arentze & Harry Timmermans, 2007. "Information impact on quality of multimodal travel choices: conceptualizations and empirical analyses," Transportation, Springer, vol. 34(6), pages 625-645, November.
    12. Richard H. M. Emmerink & Peter Nijkamp & Piet Rietveld & Jos N. Van Ommeren & Richard H. M. Emmerink & Peter Nijkamp & Piet Rietveld & Jos N. Van Ommeren, 2004. "Variable Message Signs and Radio Traffic Information: An Integrated Empirical Analysis of Drivers’ Route Choice Behaviour," Chapters, in: Location, Travel and Information Technology, chapter 16, pages 343-361, Edward Elgar Publishing.
    13. Hall, Randolph W., 2001. "Incident Management: Process Analysis and Improvement," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt1jf6j37t, Institute of Transportation Studies, UC Berkeley.
    14. Tai, Meihua & Tomizuka, Masayoshi, 2003. "Robust Lateral Control of Heavy Duty Vehicles: Final Report," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt8j2692w0, Institute of Transportation Studies, UC Berkeley.
    15. Sophie Dantan & Julie Bulteau & Isabelle Nicolaï, 2015. "Potential demand for multimodal information. Evidence from the Plateau-de-Saclay," Post-Print hal-01799290, HAL.
    16. Casper G. Chorus & Harry J.P. Timmermans, 2011. "Personal Intelligent Travel Assistants," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 25, Edward Elgar Publishing.
    17. Thill, Jean-Claude & Rogova, Galina & Yan, Jun, 2004. "Evaluating Benefits And Costs Of Intelligent Transportation Systems Elements From A Planning Perspective," Research in Transportation Economics, Elsevier, vol. 8(1), pages 571-603, January.
    18. Koo, Ronald & Yim, Younbin, 1998. "Commuter Response To Traffic Information On An Incident," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt1f6051nm, Institute of Transportation Studies, UC Berkeley.
    19. Khattak, Asad & Kanafani, Adib & Le Colletter, Emmanuel, 1994. "Stated And Reported Route Diversion Behavior: Implications On The Benefits Of ATIS," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt4fz4h20k, Institute of Transportation Studies, UC Berkeley.
    20. Cristina Pronello & Amandine Duboz & Valentina Rappazzo, 2017. "Towards Smarter Urban Mobility: Willingness to Pay for an Advanced Traveller Information System in Lyon," Sustainability, MDPI, vol. 9(10), pages 1-21, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cdl:itsrrp:qt4bx077j9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/itucbus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.