AbstractThis 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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

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


    Contributors:
    Shepherd, S.P. (author) / Zhang, X. (author) / Emberger, G. (author) / Hudson, M. (author) / May, A.D. (author) / Paulley, N. (author)

    Published in:

    Transport Policy ; 13 , 1 ; 49-65


    Publication date :

    2005-08-11


    Size :

    17 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





    DEVELOPMENT OF AN INTERNATIONAL KNOWLEDGEBASE ON URBAN TRANSPORT POLICY INSTRUMENTS

    May, A. D. / World Conference on Transport Research Society | British Library Conference Proceedings | 2003


    14. Optimal Estimation: Designing Constraints

    Thompson, David R. | NTRS | 2019


    THE SPECIFICATION OF OPTIMAL URBAN TRANSPORT STRATEGIES

    May, T. / Shepherd, S. / Timms, P. et al. | British Library Conference Proceedings | 1999


    Covid-19 and optimal urban transport policy

    De Borger, Bruno / Proost, Stef | Elsevier | 2022