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Instability and dynamic cost elasticities in freight transport systems

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  • Ferrari, Paolo

Abstract

The paper studies two properties of freight transport systems with dynamic cost functions. The first property is that the dynamic cost functions can give rise to situations in which the transport system is unstable. This property has a number of consequences. One of them – important from a practical point of view – is that, if a transport mode implements a plan of improvements of its characteristics in order to stop the decline of the proportion of freight flow it carries, there is a time threshold to start the improvements, beyond which the plan is unsuccessful. The other property is that the dynamic cost functions give rise to cost elasticities that vary over time, with asymptotic values that tend to zero as transport cost decreases. This means that, if one implements successive improvements of the characteristics of a transport mode, their effects diminish progressively.

Suggested Citation

  • Ferrari, Paolo, 2016. "Instability and dynamic cost elasticities in freight transport systems," Transport Policy, Elsevier, vol. 49(C), pages 226-233.
  • Handle: RePEc:eee:trapol:v:49:y:2016:i:c:p:226-233
    DOI: 10.1016/j.tranpol.2016.05.008
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    References listed on IDEAS

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    1. O. Norojono & W. Young, 2003. "A Stated preference freight mode choice model," Transportation Planning and Technology, Taylor & Francis Journals, vol. 26(2), pages 1-1, April.
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    3. Masiero, Lorenzo & Rose, John M., 2013. "The role of the reference alternative in the specification of asymmetric discrete choice models," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 53(C), pages 83-92.
    4. Ferrari, Paolo, 2015. "Dynamic cost functions and freight transport modal split evolution," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 77(C), pages 115-134.
    5. de Jong, Gerard & Ben-Akiva, Moshe, 2007. "A micro-simulation model of shipment size and transport chain choice," Transportation Research Part B: Methodological, Elsevier, vol. 41(9), pages 950-965, November.
    6. 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:

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    3. Nocera, Silvio & Pungillo, Giuseppe & Bruzzone, Francesco, 2021. "How to evaluate and plan the freight-passengers first-last mile," Transport Policy, Elsevier, vol. 113(C), pages 56-66.

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