IDEAS home Printed from https://ideas.repec.org/a/spr/josatr/v3y2018i1d10.1186_s41072-018-0037-y.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1186/s41072-018-0037-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1186/s41072-018-0037-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kinigadner, Julia & Büttner, Benjamin & Wulfhorst, Gebhard & Vale, David, 2020. "Planning for low carbon mobility: Impacts of transport interventions and location on carbon-based accessibility," Journal of Transport Geography, Elsevier, vol. 87(C).
    2. Manuel Manzanedo & Carlos Alonso de Armiño & Nuño Basurto & Roberto Alcalde & Belen Alonso, 2024. "Divergences between EU Members on the Sustainability of Road Freight Transport," Sustainability, MDPI, vol. 16(15), pages 1-17, July.
    3. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. van Wee, Bert & Bohte, Wendy & Molin, Eric & Arentze, Theo & Liao, Feixiong, 2014. "Policies for synchronization in the transport–land-use system," Transport Policy, Elsevier, vol. 31(C), pages 1-9.
    2. Vargas, Andrés & Sarmiento Erazo, Juan Pablo & Diaz, David, 2020. "Has Cost Benefit Analysis Improved Decisions in Colombia? Evidence from the Environmental Licensing Process," Ecological Economics, Elsevier, vol. 178(C).
    3. Tranos, Emmanouil & Incera, Andre Carrascal & Willis, George, 2022. "Using the web to predict regional trade flows: data extraction, modelling, and validation," OSF Preprints 9bu5z, Center for Open Science.
    4. Christof Rissi & Fritz Sager, 2013. "Types of knowledge utilization of regulatory impact assessments: Evidence from Swiss policymaking," Regulation & Governance, John Wiley & Sons, vol. 7(3), pages 348-364, September.
    5. Guzman, Luis A. & Cantillo-Garcia, Victor A. & Oviedo, Daniel & Arellana, Julian, 2023. "How much is accessibility worth? Utility-based accessibility to evaluate transport policies," Journal of Transport Geography, Elsevier, vol. 112(C).
    6. Michael Howlett, 2009. "Policy Advice in Multi-Level Governance Systems: Sub-National Policy Analysts and Analysis," International Review of Public Administration, Taylor & Francis Journals, vol. 13(3), pages 1-16, January.
    7. Karst T. Geurs & Kevin J. Krizek & Aura Reggiani, 2012. "Accessibility analysis and transport planning: an introduction," Chapters, in: Karst T. Geurs & Kevin J. Krizek & Aura Reggiani (ed.), Accessibility Analysis and Transport Planning, chapter 1, pages 1-12, Edward Elgar Publishing.
    8. Hartleb, Johann & Schmidt, Marie, 2022. "Railway timetabling with integrated passenger distribution," European Journal of Operational Research, Elsevier, vol. 298(3), pages 953-966.
    9. Rubensson, Isak & Susilo, Yusak & Cats, Oded, 2020. "Fair accessibility – Operationalizing the distributional effects of policy interventions," Journal of Transport Geography, Elsevier, vol. 89(C).
    10. Mark Thissen & Maureen Lankhuizen & Frank (F.G.) van Oort & Bart Los & Dario Diodato, 2018. "EUREGIO: The construction of a global IO DATABASE with regional detail for Europe for 2000-2010," Tinbergen Institute Discussion Papers 18-084/VI, Tinbergen Institute.
    11. 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.
    12. Rodriguez-Roman, Daniel & Ritchie, Stephen G., 2020. "Surrogate-based optimization for multi-objective toll design problems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 485-503.
    13. Hartleb, J. & Schmidt, M.E. & Friedrich, M. & Huisman, D., 2019. "A good or a bad timetable: Do different evaluation functions agree?," ERIM Report Series Research in Management ERS-2019-002-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    14. Claire A Dunlop, 2014. "The Possible Experts: How Epistemic Communities Negotiate Barriers to Knowledge Use in Ecosystems Services Policy," Environment and Planning C, , vol. 32(2), pages 208-228, April.
    15. Mitoko, Jeremiah, 2021. "Economics of Microcredit-From current crisis to new possibilities," MPRA Paper 108392, University Library of Munich, Germany.
    16. Demitiry, Maria & Higgins, Christopher D. & Páez, Antonio & Miller, Eric J., 2022. "Accessibility to primary care physicians: Comparing floating catchments with a utility-based approach," Journal of Transport Geography, Elsevier, vol. 101(C).
    17. Vigren, Andreas & Ljungberg, Anders, 2018. "Public Transport Authorities’ use of Cost-Benefit Analysis in practice," Research in Transportation Economics, Elsevier, vol. 69(C), pages 560-567.
    18. Maria Ljunggren Söderman & Ola Eriksson & Anna Björklund & Göran Östblom & Tomas Ekvall & Göran Finnveden & Yevgeniya Arushanyan & Jan-Olov Sundqvist, 2016. "Integrated Economic and Environmental Assessment of Waste Policy Instruments," Sustainability, MDPI, vol. 8(5), pages 1-21, April.
    19. Alexander Kleibrink & Edurne Magro, 2018. "The making of responsive innovation policies: varieties of evidence and their contestation in the Basque Country," Palgrave Communications, Palgrave Macmillan, vol. 4(1), pages 1-8, December.
    20. Hackbarth, André & Madlener, Reinhard, 2016. "Willingness-to-pay for alternative fuel vehicle characteristics: A stated choice study for Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 89-111.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:josatr:v:3:y:2018:i:1:d:10.1186_s41072-018-0037-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.