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Freight Industry Attitudes Towards Policies to Reduce Congestion

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  • Golob, Thomas F.
  • Regan, A C

Abstract

This paper presents an analysis of the perceptions held by for-hire and private trucking company logistics and operations managers about the impacts of congestion on their operations and the feasibility and effectiveness of actual and potential congestion mitigation policies. Responses to an extensive survey of nearly 1200 California-based or large national carriers are examined using confirmatory factor analysis. The method applied facilitates both the grouping of congestion relief policies into classes and the identification of characteristics of companies which lead them to favor one set of policies over others. This research comes at a time when California government leaders and transportation policy analysts are struggling with key resource allocation issues that will impact the short and long term future of goods movement in the state. To the greatest extent possible, insights of CVO users of the transportation network should be included in the policy analysis process.

Suggested Citation

  • Golob, Thomas F. & Regan, A C, 1999. "Freight Industry Attitudes Towards Policies to Reduce Congestion," University of California Transportation Center, Working Papers qt57r4d3fd, University of California Transportation Center.
    • Handle: RePEc:cdl:uctcwp:qt57r4d3fd
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    References listed on IDEAS

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    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. David Kirk, 1973. "On the numerical approximation of the bivariate normal (tetrachoric) correlation coefficient," Psychometrika, Springer;The Psychometric Society, vol. 38(2), pages 259-268, June.
    3. repec:cdl:uctcwp:qt2z94g3nk is not listed on IDEAS
    4. Ulf Olsson & Fritz Drasgow & Neil Dorans, 1982. "The polyserial correlation coefficient," Psychometrika, Springer;The Psychometric Society, vol. 47(3), pages 337-347, September.
    5. repec:cdl:uctcwp:qt169505dh is not listed on IDEAS
    6. Ulf Olsson, 1979. "Maximum likelihood estimation of the polychoric correlation coefficient," Psychometrika, Springer;The Psychometric Society, vol. 44(4), pages 443-460, December.
    7. 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.
    8. Kenneth A. Bollen, 1982. "A Confirmatory Factor Analysis of Subjective Air Quality," Evaluation Review, , vol. 6(4), pages 521-535, August.
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    Cited by:

    1. 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.
    2. 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.
    3. repec:cdl:uctcwp:qt3dt7s30j is not listed on IDEAS
    4. 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.
    5. repec:cdl:uctcwp:qt37s3z2xd is not listed on IDEAS

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