IDEAS home Printed from https://ideas.repec.org/a/bla/growch/v38y2007i4p523-543.html
   My bibliography  Save this article

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

Author

Listed:
  • IRENE CASAS
  • MEI‐PO KWAN

Abstract

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.

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, December.
  • Handle: RePEc:bla:growch:v:38:y:2007:i:4:p:523-543
    DOI: 10.1111/j.1468-2257.2007.00386.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1468-2257.2007.00386.x
    Download Restriction: no

    File URL: https://libkey.io/10.1111/j.1468-2257.2007.00386.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

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

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ashley R. Coles & Kyle E. Walker, 2021. "Assessing motorist behavior during flash floods in Tucson, Arizona," Transportation, Springer, vol. 48(6), pages 3037-3057, December.
    2. Cools, Mario & Creemers, Lieve, 2013. "The dual role of weather forecasts on changes in activity-travel behavior," Journal of Transport Geography, Elsevier, vol. 28(C), pages 167-175.
    3. 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.

    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. Sangho Choo & Patricia Mokhtarian, 2008. "How do people respond to congestion mitigation policies? A multivariate probit model of the individual consideration of three travel-related strategy bundles," Transportation, Springer, vol. 35(2), pages 145-163, March.
    2. Cao, Xinyu & Mokhtarian, Patricia L., 2005. "How do individuals adapt their personal travel? A conceptual exploration of the consideration of travel-related strategies," Transport Policy, Elsevier, vol. 12(3), pages 199-206, May.
    3. Zhang, Rong & Verhoef, Erik T., 2006. "A monopolistic market for advanced traveller information systems and road use efficiency," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(5), pages 424-443, June.
    4. Dogterom, Nico & Ettema, Dick & Dijst, Martin, 2018. "Behavioural effects of a tradable driving credit scheme: Results of an online stated adaptation experiment in the Netherlands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 107(C), pages 52-64.
    5. Jacob, Nikita & Munford, Luke & Rice, Nigel & Roberts, Jennifer, 2019. "The disutility of commuting? The effect of gender and local labor markets," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 264-275.
    6. Mokhtarian, Patricia L. & Ye, Liang & Yun, Meiping, 2010. "The Effects of Gender on Commuter Behavior Changes in the Context of a Major Freeway Construction," Institute of Transportation Studies, Working Paper Series qt86c4v6cr, Institute of Transportation Studies, UC Davis.
    7. Khan, Zaid & Amin, Saurabh, 2018. "Bottleneck model with heterogeneous information," Transportation Research Part B: Methodological, Elsevier, vol. 112(C), pages 157-190.
    8. Cao, Xinyu & Mokhtarian, Patricia L., 2005. "How do individuals adapt their personal travel? Objective and subjective influences on the consideration of travel-related strategies for San Francisco Bay Area commuters," Transport Policy, Elsevier, vol. 12(4), pages 291-302, July.
    9. Taylor, Brian D., 2004. "The politics of congestion mitigation," Transport Policy, Elsevier, vol. 11(3), pages 299-302, July.
    10. Choo, Sangho & Mokhtarian, Patricia L, 2004. "Modeling the Individual Consideration of Travel-Related Strategy Bundles," Institute of Transportation Studies, Working Paper Series qt3123v46c, Institute of Transportation Studies, UC Davis.
    11. Vredin Johansson, Maria & Heldt, Tobias & Johansson, Per, 2006. "The effects of attitudes and personality traits on mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(6), pages 507-525, July.
    12. Steimetz, Seiji S.C. & Brownstone, David, 2005. "Estimating commuters' "value of time" with noisy data: a multiple imputation approach," Transportation Research Part B: Methodological, Elsevier, vol. 39(10), pages 865-889, December.
    13. Jennifer Roberts & Karl Taylor, 2017. "Intra-household commuting choices and local labour markets," Oxford Economic Papers, Oxford University Press, vol. 69(3), pages 734-757.
    14. Michael J. Clay * & Patricia L. Mokhtarian, 2004. "Personal travel management: the adoption and consideration of travel-related strategies," Transportation Planning and Technology, Taylor & Francis Journals, vol. 27(3), pages 181-209, June.
    15. Toşa, Cristian & Sato, Hitomi & Morikawa, Takayuki & Miwa, Tomio, 2018. "Commuting behavior in emerging urban areas: Findings of a revealed-preferences and stated-intentions survey in Cluj-Napoca, Romania," Journal of Transport Geography, Elsevier, vol. 68(C), pages 78-93.
    16. Stefan P.T. Groot & Henri L.F. de Groot & Paolo Veneri, 2012. "The Educational Bias in Commuting Patterns: Micro-Evidence for the Netherlands," Tinbergen Institute Discussion Papers 12-080/3, Tinbergen Institute.
    17. Carlos Barros, 2012. "Sustainable Tourism in Inhambane-Mozambique," CEsA Working Papers 105, CEsA - Centre for African and Development Studies.
    18. Lu, Xiao-Yun & Gosling, Geoffrey D. & Shladover, Steven E. & Xiong, Jing & Ceder, Avi, 2006. "Development of a Modeling Framework for Analyzing Improvements in Intermodal Connectivity at California Airports," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt586755r9, Institute of Transportation Studies, UC Berkeley.
    19. Anthony Ziegelmeyer & Frédéric Koessler & Kene Boun My & Laurent Denant-Boèmont, 2008. "Road Traffic Congestion and Public Information: An Experimental Investigation," Journal of Transport Economics and Policy, University of Bath, vol. 42(1), pages 43-82, January.
    20. Borhan, Muhamad Nazri & Ibrahim, Ahmad Nazrul Hakimi & Miskeen, Manssour A. Abdulasalm, 2019. "Extending the theory of planned behaviour to predict the intention to take the new high-speed rail for intercity travel in Libya: Assessment of the influence of novelty seeking, trust and external inf," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 373-384.

    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:bla:growch:v:38:y:2007:i:4:p:523-543. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0017-4815 .

    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.