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HIGH-TOOL – a strategic assessment tool for evaluating EU transport policies

Author

Listed:
  • E. Szimba

    (Karlsruhe Institute of Technology (KIT), Network Economics, Institute of Economics (ECON))

  • J. Ihrig

    (Karlsruhe Institute of Technology (KIT))

  • M. Kraft

    (Karlsruhe Institute of Technology (KIT))

  • K. Mitusch

    (Karlsruhe Institute of Technology (KIT))

  • M. Chen

    (Netherlands Organisation for Applied Scientific Research TNO)

  • M. Chahim

    (Netherlands Organisation for Applied Scientific Research TNO)

  • J. van Meijeren

    (Netherlands Organisation for Applied Scientific Research TNO)

  • J. Kiel

    (Panteia)

  • B. Mandel

    (MKmetric Gesellschaft für Systemplanung mbH)

  • A. Ulied

    (MCRIT S.L.)

  • E. Larrea

    (MCRIT S.L.)

  • G. De Ceuster

    (Transport & Mobility Leuven NV (TML))

  • R. Van Grol

    (Significance)

  • Z. Berki

    (Főmterv)

  • A. Székely

    (Főmterv)

  • R. Smith

    (E-mergo)

Abstract

In this paper the strategic transport policy assessment instrument HIGH-TOOL is presented. The model has been developed for the European Commission, allowing policy-makers to identify the most advantageous transport policies and to strategically evaluate the impacts of transport policies on transport, environment and economy. The main innovation of this policy assessment tool lies in the integration of originally independently functioning models – i.e. passenger and freight demand, demography, and vehicle stock models, as well as economic, environmental and safety assessment models. With its traffic zones at the regional level of NUTS-2 and its aggregated view on the transport system, the instrument has a relatively lean structure avoiding runtime problems, without losing the spatial dimension. What distinguishes HIGH-TOOL from all other European transport policy assessment instruments: the model is an open source tool, it is freely available and does not require any commercial software to be run. In combination with its modular structure the HIGH-TOOL model can relatively easily be adjusted to other modelling methodologies or data. It can also comparatively easily be made responsive to “new” policies which are not in the scope of the current model version. Thus the HIGH-TOOL model lays the foundation for further innovations in the assessment of transport policies and mobility concepts.

Suggested Citation

  • E. Szimba & J. Ihrig & M. Kraft & K. Mitusch & M. Chen & M. Chahim & J. van Meijeren & J. Kiel & B. Mandel & A. Ulied & E. Larrea & G. De Ceuster & R. Van Grol & Z. Berki & A. Székely & R. Smith, 2018. "HIGH-TOOL – a strategic assessment tool for evaluating EU transport policies," Journal of Shipping and Trade, Springer, vol. 3(1), pages 1-30, December.
    • Handle: RePEc:spr:josatr:v:3:y:2018:i:1:d:10.1186_s41072-018-0037-y
    DOI: 10.1186/s41072-018-0037-y
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    References listed on IDEAS

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    1. Olga Ivanova & d'Artis Kancs & Dirk Stelder, 2009. "Modelling Inter-Regional Trade Flows: Data and Methodological Issues in Rhomolo," EERI Research Paper Series EERI RP 2009/31, Economics and Econometrics Research Institute (EERI), Brussels.
    2. de Jong, Gerard & Daly, Andrew & Pieters, Marits & van der Hoorn, Toon, 2007. "The logsum as an evaluation measure: Review of the literature and new results," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(9), pages 874-889, November.
    3. Måns Nilsson & Andrew Jordan & John Turnpenny & Julia Hertin & Björn Nykvist & Duncan Russel, 2008. "The use and non-use of policy appraisal tools in public policy making: an analysis of three European countries and the European Union," Policy Sciences, Springer;Society of Policy Sciences, vol. 41(4), pages 335-355, December.
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    2. Maria Lambrou & Daisuke Watanabe & Junya Iida, 2019. "Shipping digitalization management: conceptualization, typology and antecedents," Journal of Shipping and Trade, Springer, vol. 4(1), pages 1-17, December.

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