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The Strategic Evaluation Of New Technologies Through Multicriteria Analysis: The Advisors Case

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  • Macharis, Cathy
  • Verbeke, Alain
  • De Brucker, Klaas

Abstract

The authors of this paper, economic experts participating in the ADVISORS project, a large scale, pan-European study co-funded by the European Union (2000-2002), have developed a strategic evaluation methodology building upon multicriteria analysis (MCA), to assess advanced driver assistance systems (ADAS). ADAS is a set of new technologies intended to fundamentally improve road safety in the European Union. This paper includes a description of this new MCA methodology as it was applied to ADAS. This new MCA methodology is based on the analytic hierarchy process (AHP) of Saaty and synthesises information from both stakeholder analyses and technical performance studies.

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  • Macharis, Cathy & Verbeke, Alain & De Brucker, Klaas, 2004. "The Strategic Evaluation Of New Technologies Through Multicriteria Analysis: The Advisors Case," Research in Transportation Economics, Elsevier, vol. 8(1), pages 443-462, January.
  • Handle: RePEc:eee:retrec:v:8:y:2004:i:1:p:443-462
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    References listed on IDEAS

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    1. Robert T. Eckenrode, 1965. "Weighting Multiple Criteria," Management Science, INFORMS, vol. 12(3), pages 180-192, November.
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    Cited by:

    1. Sandrine Meyer & Julien Matheys & Annalia Bernardini & Tom Van Lier & Andrew Ferrone & Philippe Marbaix & Patrick Grenier, 2012. "Aviation and the Belgian Climate Policy: Integration Options and Impacts: Phase II: ABC Impacts," ULB Institutional Repository 2013/137072, ULB -- Universite Libre de Bruxelles.
    2. Levi Vermote & Cathy Macharis & Koen Putman, 2013. "A Road Network for Freight Transport in Flanders: Multi-Actor Multi-Criteria Assessment of Alternative Ring Ways," Sustainability, MDPI, vol. 5(10), pages 1-25, September.
    3. Johanna Camargo Pérez & Martha Carrillo & Jairo Montoya-Torres, 2015. "Multi-criteria approaches for urban passenger transport systems: a literature review," Annals of Operations Research, Springer, vol. 226(1), pages 69-87, March.
    4. Macharis, Cathy, 2004. "The importance of stakeholder analysis in freight transport," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 25-26, pages 114-126.
    5. Thomas Vanoutrive & Ann Verhetsel (ed.), 2013. "Smart Transport Networks," Books, Edward Elgar Publishing, number 15483.
    6. Lee, Deok-Joo, 2018. "A multi-criteria approach for prioritizing advanced public transport modes (APTM) considering urban types in Korea," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 148-161.
    7. Cathy Macharis & Peter Nijkamp, 2013. "Stakeholder bias in multi-actor multi-criteria transportation evaluation: issues and solutions," Chapters, in: Thomas Vanoutrive & Ann Verhetsel (ed.), Smart Transport Networks, chapter 12, pages 248-268, Edward Elgar Publishing.
    8. Turcksin, Laurence & Macharis, Cathy & Lebeau, Kenneth & Boureima, Faycal & Van Mierlo, Joeri & Bram, Svend & De Ruyck, Jacques & Mertens, Lara & Jossart, Jean-Marc & Gorissen, Leen & Pelkmans, Luc, 2011. "A multi-actor multi-criteria framework to assess the stakeholder support for different biofuel options: The case of Belgium," Energy Policy, Elsevier, vol. 39(1), pages 200-214, January.
    9. Macharis, Cathy & Bernardini, Annalia, 2015. "Reviewing the use of Multi-Criteria Decision Analysis for the evaluation of transport projects: Time for a multi-actor approach," Transport Policy, Elsevier, vol. 37(C), pages 177-186.
    10. Brucker, Klaas De & Verbeke, Alain & Macharis, Cathy, 2004. "The Applicability Of Multicriteria-Analysis To The Evaluation Of Intelligent Transport Systems (Its)," Research in Transportation Economics, Elsevier, vol. 8(1), pages 151-179, January.
    11. Henry Huang & Yves De Smet & Cathy Macharis & Nguyen Anh Vu Doan, 2020. "Collaborative decision-making in sustainable mobility: identifying possible consensuses in the multi-actor multi-criteria analysis based on inverse mixed-integer linear optimization," ULB Institutional Repository 2013/311571, ULB -- Universite Libre de Bruxelles.

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