IDEAS home Printed from https://ideas.repec.org/p/cdl/uctcwp/qt40q8h6sf.html
   My bibliography  Save this paper

Trucking Industry Preferences for Driver Traveler Information Using Wireless Internet-enabled Devices

Author

Listed:
  • Golob, Thomas F.
  • Regan, A C

Abstract

If truck drivers could use internet-enabled wireless devices to access traveler information, what type of information would they most want to have? The answer almost surely varies according to the type of trucking operation, location, and many other factors. We analyzed preferences for traveler information from managers of 700 trucking companies to determine how they valued information about such things as locations of freeway incidents and lane closures, port and rail terminal schedules and clearances, delays at terminal train arrivals at grade crossings, weather, and travel times at alternative routes. Using a factor-analytic model with regressor variables, we found clear differences in preferences across types of trucking operations.

Suggested Citation

  • Golob, Thomas F. & Regan, A C, 2002. "Trucking Industry Preferences for Driver Traveler Information Using Wireless Internet-enabled Devices," University of California Transportation Center, Working Papers qt40q8h6sf, University of California Transportation Center.
    • Handle: RePEc:cdl:uctcwp:qt40q8h6sf
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/40q8h6sf.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Scapinakis, Dimitris A. & Garrison, William L., 1991. "Communications And Positioning Systems In The Motor Carrier Industry," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt15j086pf, Institute of Transportation Studies, UC Berkeley.
    2. Kenneth Bollen, 1986. "Sample size and bentler and Bonett's nonnormed fit index," Psychometrika, Springer;The Psychometric Society, vol. 51(3), pages 375-377, September.
    3. Hamparsum Bozdogan, 1987. "Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 345-370, September.
    4. Hall, Randolph W. & Intihar, Chris, 1997. "Commercial Vehicle Operations: Government Interfaces And Intelligent Transportation Systems," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt9p272488, Institute of Transportation Studies, UC Berkeley.
    5. Hirotugu Akaike, 1987. "Factor analysis and AIC," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 317-332, September.
    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. Regan, Amelia C. & Golob, Thomas F., 2022. "Deployment Paths of ATIS: Impact on Commercial Vehicle Operations, Private Sector Providers and the Public Sector," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt2578j4bj, Institute of Transportation Studies, UC Berkeley.

    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. Golob, Thomas F. & Regan, A C, 2003. "Traffic Congestion and Trucking Managers' Use of Automated Routing and Scheduling," University of California Transportation Center, Working Papers qt74z234n4, University of California Transportation Center.
    2. Golob, Thomas F. & Regan, Amelia C., 2002. "Traffic Congestion and Trucking Managers' Use of Automated Routing and Scheduling," University of California Transportation Center, Working Papers qt9q4232hz, University of California Transportation Center.
    3. Golob, Thomas F. & Regan, Amelia C., 2003. "Surveying and Modeling Trucking Industry Perceptions, Preferences and Behavior," University of California Transportation Center, Working Papers qt1gw166zk, University of California Transportation Center.
    4. Golob, Thomas F., 2011. "Structural Equation Modeling For Travel Behavior Research," University of California Transportation Center, Working Papers qt2pn5j58n, University of California Transportation Center.
    5. Golob, Thomas F., 2001. "Structural Equation Modeling For Travel Behavior Research," University of California Transportation Center, Working Papers qt8pb2m1pk, University of California Transportation Center.
    6. Golob, Thomas F., 2003. "Structural equation modeling for travel behavior research," Transportation Research Part B: Methodological, Elsevier, vol. 37(1), pages 1-25, January.
    7. Golob, Thomas F. & Regan, Amelia C., 2001. "Impacts of Information Technology on Personal Tavel and Commercial Vehicle Operations: Research Challenges and Opportunities," University of California Transportation Center, Working Papers qt95r7j7vk, University of California Transportation Center.
    8. Daniela Andreini & Diego Rinallo & Giuseppe Pedeliento & Mara Bergamaschi, 2017. "Brands and Religion in the Secularized Marketplace and Workplace: Insights from the Case of an Italian Hospital Renamed After a Roman Catholic Pope," Journal of Business Ethics, Springer, vol. 141(3), pages 529-550, March.
    9. Byrd, T. A. & Marshall, T. E., 1997. "Relating information technology investment to organizational performance: a causal model analysis," Omega, Elsevier, vol. 25(1), pages 43-56, February.
    10. Tuan, Luu Trong & Ngan, Vu Thanh, 2021. "Leading ethically to shape service-oriented organizational citizenship behavior among tourism salespersons: Dual mediation paths and moderating role of service role identity," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    11. Regan, Amelia C. & Golob, Thomas F., 1999. "Trucking Industry Perceptions of Congestion Problems and Potential Solutions in Maritime Intermodal Operations in California," University of California Transportation Center, Working Papers qt14t3k3vf, University of California Transportation Center.
    12. Qi Chen & Wen Luo & Gregory J. Palardy & Ryan Glaman & Amber McEnturff, 2017. "The Efficacy of Common Fit Indices for Enumerating Classes in Growth Mixture Models When Nested Data Structure Is Ignored," SAGE Open, , vol. 7(1), pages 21582440177, March.
    13. Naiara Escalante Mateos & Eider Goñi Palacios & Arantza Fernández-Zabala & Iratxe Antonio-Agirre, 2020. "Internal Structure, Reliability and Invariance across Gender Using the Multidimensional School Climate Scale PACE-33," IJERPH, MDPI, vol. 17(13), pages 1-24, July.
    14. Jung, Hyekyung & Schafer, Joseph L. & Seo, Byungtae, 2011. "A latent class selection model for nonignorably missing data," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 802-812, January.
    15. Golob, Thomas F. & Reagan, Amelia C., 2002. "Trucking Industry Adoption of Information Technology: A structural Multivariate Discrete Choice Model," University of California Transportation Center, Working Papers qt7kv5f17n, University of California Transportation Center.
    16. Golob, Thomas F. & Regan, A C, 2002. "Trucking Industry Adoption of Information Technology: A Structural Multivariate Probit Model," University of California Transportation Center, Working Papers qt9w1988t7, University of California Transportation Center.
    17. Roy Levy & Gregory R. Hancock, 2011. "An Extended Model Comparison Framework for Covariance and Mean Structure Models, Accommodating Multiple Groups and Latent Mixtures," Sociological Methods & Research, , vol. 40(2), pages 256-278, May.
    18. Ogasawara, Haruhiko, 2016. "Bias correction of the Akaike information criterion in factor analysis," Journal of Multivariate Analysis, Elsevier, vol. 149(C), pages 144-159.
    19. repec:jss:jstsof:06:i02 is not listed on IDEAS
    20. Lin Ting Hsiang, 2006. "A comparison of model selection indices for nested latent class models," Monte Carlo Methods and Applications, De Gruyter, vol. 12(3), pages 239-259, October.
    21. GONZALO, Jesus & PITARAKIS, Jean-Yves, 1994. "Comovements in Large Systems," LIDAM Discussion Papers CORE 1994065, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    More about this item

    Keywords

    ;

    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:uctcwp:qt40q8h6sf. 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.