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A selecção de indicadores no estudo prospectivo “Forecasting the carbon footprint to road freight transport in 2020” [Indicator selection in the foresight study “Forecasting the carbon footprint to road freight transport in 2020”]

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Author Info

  • Nuno Boavida

    ()
    (IET, Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia)

Abstract

This work examines a recent study that used various forecasting methods and in particular the Delphi method, to understand how the indicators were selected during the development of the prospective study. It can be concluded that the indicators in the study were selected through discussion on existing knowledge (formal and informal) and the broad consensus of the respective community, which established and confirmed the choice of indicators as the most relevant to prospectively examine the matter concerned. The technical support provided to choose certain forecasting methods as well as to choose the methods that could not be used throughout the development of the work, contributed to the strength of the list of indicators.

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File URL: http://run.unl.pt/handle/10362/6615
File Function: First version, 2011
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Bibliographic Info

Paper provided by Universidade Nova de Lisboa, IET/CESNOVA-Research on Enterprise and Work Innovation, Faculty of Science and Technology in its series IET Working Papers Series with number 06/2011.

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Length: 17 pages
Date of creation: Jun 2011
Date of revision:
Handle: RePEc:ieu:wpaper:37

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Keywords: Indicators; forecasting; Delphi method; CO2 emissions; road freight transport; carbon footprint;

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