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Impacts of Highway Congestion on Freight Operations: Perceptions of Trucking Industry Managers

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  • Golob, Thomas F.
  • Regan, Amelia C.

Abstract

To better understand how road congestion adversely affects trucking operations in California, we surveyed approximately 1,200 managers of all types of trucking companies operating in California. More than 80% of these managers consider traffic congestion on freeways and surface streets to be either a “somewhat serious” or “critically serious” problem for their business. A structural equations model is estimated on these data to determine how five aspects of the congestion problem differ across sectors of the trucking industry. The five aspects were slow average speeds, unreliable travel times, increased driver frustration and morale, higher fuel and maintenance costs, and higher costs of accidents and insurance. The model also simultaneously estimates how these five aspects combine to predict the perceived overall magnitude of the problem. Overall, congestion is perceived to be a more serious problem by managers of trucking companies engaged in intermodal operations, particularly private and for-hire trucking companies serving airports and private companies serving rail terminals. Companies specializing in refrigerated transport also perceive congestion to be a more serious overall problem, as do private companies engaged in LTL operations. The most problematic aspect of congestion is unreliable travel times, followed by driver frustration and morale, then by slow average speeds. Unreliable travel times are a significantly more serious problem for intermodal air operations. Driver frustration and morale attributable to congestion is perceived to be more of a problem by managers of long-haul carriers and tanker operations. Slow average speeds are also more of a concern for airport and refrigerated operations.

Suggested Citation

  • Golob, Thomas F. & Regan, Amelia C., 1999. "Impacts of Highway Congestion on Freight Operations: Perceptions of Trucking Industry Managers," University of California Transportation Center, Working Papers qt3dt7s30j, University of California Transportation Center.
  • Handle: RePEc:cdl:uctcwp:qt3dt7s30j
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    References listed on IDEAS

    as
    1. Ulf Olsson, 1979. "Maximum likelihood estimation of the polychoric correlation coefficient," Psychometrika, Springer;The Psychometric Society, vol. 44(4), pages 443-460, December.
    2. 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.
    3. 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.
    4. Hensher, David A. & Golob, Thomas F., 1998. "Searching for Policy Priorities in the Formulation of a Freight Transport Strategy: An Analysis of Freight Industry Attitudes," University of California Transportation Center, Working Papers qt169505dh, University of California Transportation Center.
    5. 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.
    6. Ulf Olsson & Fritz Drasgow & Neil Dorans, 1982. "The polyserial correlation coefficient," Psychometrika, Springer;The Psychometric Society, vol. 47(3), pages 337-347, September.
    7. Golob, Thomas F. & Regan, Amelia C., 1999. "Freight industry attitudes towards policies to reduce congestion," University of California Transportation Center, Working Papers qt3fq6x2sq, University of California Transportation Center.
    8. Golob, Thomas F. & Regan, Amelia C., 1999. "Trucking Industry Perceptions of Congestion Problems and Potential Solutions in Maritime Intermodal Operations in California," University of California Transportation Center, Working Papers qt2f0692sv, University of California Transportation Center.
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