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Designing optimal urban transport strategies: The role of individual policy instruments and the impact of financial constraints

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  • Shepherd, S.P.
  • Zhang, X.
  • Emberger, G.
  • Hudson, M.
  • May, A.D.
  • Paulley, N.

Abstract

This paper presents a methodology for the design of optimal transport strategies and the case study results of the methodology for the City of Edinburgh, using the two multi-modal transport/land-use models MARS and TPM. First, a range of policy instruments are optimised in turn and their relative impacts explored. Second, optimisations with and without financial constraints are performed and compared. Although both models produce similar optimal policies, the relative contribution of the instruments differs between models as does the impact on outcome indicators. It is also shown that by careful design it is possible to identify a strategy which costs no more than the do-minimum but which can generate substantial additional benefits. The optimisation methodology is found to be robust, and is able to be used with different transport models, and with and without financial constraints.

Suggested Citation

  • Shepherd, S.P. & Zhang, X. & Emberger, G. & Hudson, M. & May, A.D. & Paulley, N., 2006. "Designing optimal urban transport strategies: The role of individual policy instruments and the impact of financial constraints," Transport Policy, Elsevier, vol. 13(1), pages 49-65, January.
    • Handle: RePEc:eee:trapol:v:13:y:2006:i:1:p:49-65
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    Cited by:

    1. Bhardwaj, Chandan & Axsen, Jonn & Kern, Florian & McCollum, David, 2020. "Why have multiple climate policies for light-duty vehicles? Policy mix rationales, interactions and research gaps," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 309-326.
    2. Meng Xu & Guangmin Wang & Susan Grant-Muller & Ziyou Gao, 2017. "Joint road toll pricing and capacity development in discrete transport network design problem," Transportation, Springer, vol. 44(4), pages 731-752, July.
    3. David Watling & Giulio Cantarella, 2015. "Model Representation & Decision-Making in an Ever-Changing World: The Role of Stochastic Process Models of Transportation Systems," Networks and Spatial Economics, Springer, vol. 15(3), pages 843-882, September.
    4. May, Anthony D. & Kelly, Charlotte & Shepherd, Simon & Jopson, Ann, 2012. "An option generation tool for potential urban transport policy packages," Transport Policy, Elsevier, vol. 20(C), pages 162-173.

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