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Direct and cross elasticities for freight distribution access charges: Empirical evidence by vehicle class, vehicle kilometres and tonne vehicle kilometres

Author

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  • Hensher, David A.
  • Collins, Andrew T.
  • Rose, John M.
  • Smith, Nariida C.

Abstract

This paper uses data collected in Australia in 2010–2011 on alternative access charge regimes for freight transport, obtained from a stated choice experiment, which is used in estimation of mixed logit models calibrated on vehicle market shares, to derive matrices of direct and cross access charging elasticities that represent the relationship between an access charge (defined by combinations of distance, mass, and location), vehicle class choice, total kilometres, and tonne–kilometres carried in the vehicle class segments. The elasticities can be used to estimate the response of heavy vehicle operators (and shippers) to price signals under the different access charging schemes.

Suggested Citation

  • Hensher, David A. & Collins, Andrew T. & Rose, John M. & Smith, Nariida C., 2013. "Direct and cross elasticities for freight distribution access charges: Empirical evidence by vehicle class, vehicle kilometres and tonne vehicle kilometres," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 56(C), pages 1-21.
  • Handle: RePEc:eee:transe:v:56:y:2013:i:c:p:1-21
    DOI: 10.1016/j.tre.2013.03.002
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    References listed on IDEAS

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    1. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    2. Rose, John M. & Bliemer, Michiel C.J. & Hensher, David A. & Collins, Andrew T., 2008. "Designing efficient stated choice experiments in the presence of reference alternatives," Transportation Research Part B: Methodological, Elsevier, vol. 42(4), pages 395-406, May.
    3. Li, Zheng & Hensher, David A. & Rose, John M., 2011. "Identifying sources of systematic variation in direct price elasticities from revealed preference studies of inter-city freight demand," Transport Policy, Elsevier, vol. 18(5), pages 727-734, September.
    4. Beuthe, Michel & Jourquin, Bart & Geerts, Jean-François & Koul à Ndjang' Ha, Christian, 2001. "Freight transportation demand elasticities: a geographic multimodal transportation network analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 37(4), pages 253-266, August.
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    Cited by:

    1. Gomez, Juan & Vassallo, José Manuel, 2015. "Evolution over time of heavy vehicle volume in toll roads: A dynamic panel data to identify key explanatory variables in Spain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 282-297.

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