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Freight industry attitudes towards policies to reduce congestion

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  • Golob, Thomas F.
  • Regan, Amelia 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 commercial vehicle operations users of the transportation network should be included in the policy analysis process.

Suggested Citation

  • Golob, Thomas F. & Regan, Amelia C., 2000. "Freight industry attitudes towards policies to reduce congestion," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 36(1), pages 55-77, March.
    • Handle: RePEc:eee:transe:v:36:y:2000:i:1:p:55-77
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    Citations

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    Cited by:

    1. Amaya, Johanna & Arellana, Julian & Delgado-Lindeman, Maira, 2020. "Stakeholders perceptions to sustainable urban freight policies in emerging markets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 329-348.
    2. Golob, Thomas F. & Regan, Amelia C., 2001. "Impacts of highway congestion on freight operations: perceptions of trucking industry managers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(7), pages 577-599, August.
    3. Faiq Matin & Gobind M. Herani & Usman Ali Warraich, 2012. "Factors Affecting Traffic Jam in Karachi and its Impact on Performance of Economy," KASBIT Business Journals (KBJ), Khadim Ali Shah Bukhari Institute of Technology (KASBIT), vol. 5, pages 25-32, December.
    4. Jacob, Jagan, 2020. "Should competing firms cooperate to reduce congestion?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    5. Roso, Violeta & Woxenius, Johan & Lumsden, Kenth, 2009. "The dry port concept: connecting container seaports with the hinterland," Journal of Transport Geography, Elsevier, vol. 17(5), pages 338-345.
    6. Golob, Thomas F. & Regan, Amelia C., 2000. "The Perceived Usefulness of Different Sources of Traffic Information to Trucking Operations," University of California Transportation Center, Working Papers qt95d8d0xk, University of California Transportation Center.
    7. Amaya, Johanna & Delgado-Lindeman, Maira & Arellana, Julian & Allen, Jaime, 2021. "Urban freight logistics: What do citizens perceive?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    8. Regan, A C & Golob, Thomas F, 2000. "CVO Perspectives on the Usefulness of Various Sources of Traffic Information," University of California Transportation Center, Working Papers qt0439w6h1, University of California Transportation Center.
    9. King, David A. & Gordon, Cameron E. & Peters, Jonathan R., 2014. "Does road pricing affect port freight activity: Recent evidence from the port of New York and New Jersey," Research in Transportation Economics, Elsevier, vol. 44(C), pages 2-11.
    10. Golob, Thomas F., 2001. "Structural Equation Modeling For Travel Behavior Research," University of California Transportation Center, Working Papers qt8pb2m1pk, University of California Transportation Center.
    11. Tsao, H.-S. Jacob & Rizwan, Asim, 2000. "The Role of Intelligent Transportation Systems (ITS) in Intermodal Air Cargo Operations," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt3x38p9rv, Institute of Transportation Studies, UC Berkeley.
    12. Lee, Jinwoo (Brian) & Jaeckel, Kristin & Choi, Keechoo & Chow, Garland, 2013. "Commercial vehicle pre-clearance programs: Current issues and recommendations for potential implementation," Transport Policy, Elsevier, vol. 27(C), pages 92-101.
    13. Golob, Thomas F., 2003. "Structural equation modeling for travel behavior research," Transportation Research Part B: Methodological, Elsevier, vol. 37(1), pages 1-25, January.
    14. Levi Vermote & Cathy Macharis & Koen Putman, 2013. "A Road Network for Freight Transport in Flanders: Multi-Actor Multi-Criteria Assessment of Alternative Ring Ways," Sustainability, MDPI, vol. 5(10), pages 1-25, September.
    15. 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.
    16. Cherry, Christopher R. & Adelakun, Adebola A., 2012. "Truck driver perceptions and preferences: Congestion and conflict, managed lanes, and tolls," Transport Policy, Elsevier, vol. 24(C), pages 1-9.
    17. Maloni, Michael J. & Jackson, Eric C., 2007. "Stakeholder Contributions to Container Port Capacity: A Survey of Port Authorities," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 46(1).
    18. Golob, Thomas F., 2011. "Structural Equation Modeling For Travel Behavior Research," University of California Transportation Center, Working Papers qt2pn5j58n, University of California Transportation Center.
    19. Golob, Thomas F. & Regan, A C, 2001. "The Perceived Usefulness of Different Sources of Traffic Information to Trucking Operations," University of California Transportation Center, Working Papers qt7wz0j3rm, University of California Transportation Center.

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