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Predict or prophesy? Issues and trade-offs in modelling long-term transport infrastructure demand and capacity

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  • Blainey, Simon P.
  • Preston, John M.

Abstract

Effective planning and investment for transport infrastructure systems is seen as key for economic development in both advanced and developing economies. However, planning for such strategic transport investments is fraught with difficulties, due to their high costs and public profile, long asset life, and uncertainty over future transport demand patterns and technologies. Given that only a finite quantity of funding is available for transport investment, it is important that this funding is spent in the right places and on the right schemes in order to ensure that the best return is obtained from limited public resources. There is therefore a need for a model which is capable of assessing network demand and performance in a wide range of possible futures, in order that robust decisions can be taken with regard to which schemes are given the go ahead. This paper discusses a range of issues associated with the development of a strategic national transport model for Great Britain as part of a wider interdependent infrastructure systems modelling framework (NISMOD). It considers the compromises which have to be made in order to develop a model which can examine a wide range of potential futures in a reasonable timescale, outlines how such futures can be captured in the model, and finally assesses the continued role of planners and policy-makers in determining both how the model is applied and how the future of transport systems might play out in reality. While the paper is based on a case study example from Great Britain, most of the general issues discussed are of relevance to transport and infrastructure policy making in almost any national or international context.

Suggested Citation

  • Blainey, Simon P. & Preston, John M., 2019. "Predict or prophesy? Issues and trade-offs in modelling long-term transport infrastructure demand and capacity," Transport Policy, Elsevier, vol. 74(C), pages 165-173.
    • Handle: RePEc:eee:trapol:v:74:y:2019:i:c:p:165-173
    DOI: 10.1016/j.tranpol.2018.12.001
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    References listed on IDEAS

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    1. Chaudry, Modassar & Jenkins, Nick & Qadrdan, Meysam & Wu, Jianzhong, 2014. "Combined gas and electricity network expansion planning," Applied Energy, Elsevier, vol. 113(C), pages 1171-1187.
    2. de Jong, Gerard & Gunn, Hugh & Ben-Akiva, Moshe, 2004. "A meta-model for passenger and freight transport in Europe," Transport Policy, Elsevier, vol. 11(4), pages 329-344, October.
    3. Laurence Desjardins-Crépeau & Nicolas Berryman & Thien Tuong Minh Vu & Juan Manuel Villalpando & Marie-Jeanne Kergoat & Karen Z. Li & Laurent Bosquet & Louis Bherer, 2014. "Physical Functioning Is Associated With Processing Speed and Executive Functions in Community-Dwelling Older Adults," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 69(6), pages 837-844.
    4. Owens, Susan, 1995. "From 'predict and provide' to 'predict and prevent'?: Pricing and planning in transport policy," Transport Policy, Elsevier, vol. 2(1), pages 43-49, January.
    5. Jeffrey S. Boggs & Norma M. Rantisi, 2003. "The 'relational turn' in economic geography," Journal of Economic Geography, Oxford University Press, vol. 3(2), pages 109-116, April.
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    Cited by:

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    2. Stellner František & Vokoun Marek & Nigrin Tomáš & Kasa Marek, 2022. "Characteristics of Austrian passenger transport policy development since the 1950s," Review of Economic Perspectives, Sciendo, vol. 22(4), pages 293-315, December.

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