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Searching for policy priorities in the formulation of a freight transport strategy: a canonical correlation analysis of freight industry attitudes

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  • Hensher, David A.
  • Golob, Thomas F.

Abstract

An efficient and effective freight transport strategy can be aided by early professional contributions from key stakeholders. One broad group who have historically been given limited opportunity to influence the drafting of a freight strategy, are commercial road users and shippers who manufacture and distribute goods. Utilising a data set collected in Australia in 1996 from a sample of organisations involved directly and indirectly in road freight transportation, views were sought on road infrastructure changes, new road infrastructure, non-road infrastructure needs and transport policies. An optimal scaling approach using non-linear canonical correlation is implemented to search for structural relationships between the underlying policy and infrastructure dimensions and the various industry categories. This framework provides a powerful mechanism for identifying differences among stakeholders in terms of their support for or opposition to specific policies. Results reveal the considerable differences in attitudes associated with the component parts of the freight industry.

Suggested Citation

  • Hensher, David A. & Golob, Thomas F., 1999. "Searching for policy priorities in the formulation of a freight transport strategy: a canonical correlation analysis of freight industry attitudes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 35(4), pages 241-267, December.
    • Handle: RePEc:eee:transe:v:35:y:1999:i:4:p:241-267
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    Citations

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    Cited by:

    1. Hensher, D. A. & Brewer, A. M., 2001. "Developing a freight strategy: the use of a collaborative learning process to secure stakeholder input," Transport Policy, Elsevier, vol. 8(1), pages 1-10, January.
    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. 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.
    4. Younshik Chung & Tai-Jin Song, 2018. "Safety Analysis of Motorcycle Crashes in Seoul Metropolitan Area, South Korea: An Application of Nonlinear Optimal Scaling Methods," IJERPH, MDPI, vol. 15(12), pages 1-20, November.
    5. Golob, Thomas F. & Recker, Wilfred W., 2004. "A method for relating type of crash to traffic flow characteristics on urban freeways," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(1), pages 53-80, January.
    6. Diana, Marco & Pronello, Cristina, 2010. "Traveler segmentation strategy with nominal variables through correspondence analysis," Transport Policy, Elsevier, vol. 17(3), pages 183-190, May.
    7. Stathopoulos, Amanda & Valeri, Eva & Marcucci, Edoardo, 2012. "Stakeholder reactions to urban freight policy innovation," Journal of Transport Geography, Elsevier, vol. 22(C), pages 34-45.
    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. Vieira, José Geraldo Vidal & Mendes, Juliana Veiga & Suyama, Suzi Sanae, 2016. "Shippers and freight operators perceptions of sustainable initiatives," Evaluation and Program Planning, Elsevier, vol. 54(C), pages 173-181.
    10. Vieira, José Geraldo Vidal & Fransoo, Jan C. & Carvalho, Carla Deguirmendjian, 2015. "Freight distribution in megacities: Perspectives of shippers, logistics service providers and carriers," Journal of Transport Geography, Elsevier, vol. 46(C), pages 46-54.
    11. 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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