<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Nuno Boavida</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">{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 ro}</style></title></titles><keywords><keyword><style  face="normal" font="default" size="100%">carbon footprint</style></keyword><keyword><style  face="normal" font="default" size="100%">CO2 emissions</style></keyword><keyword><style  face="normal" font="default" size="100%">Delphi method</style></keyword><keyword><style  face="normal" font="default" size="100%">forecasting</style></keyword><keyword><style  face="normal" font="default" size="100%">Indicators</style></keyword><keyword><style  face="normal" font="default" size="100%">road freight transport</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2011</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Jun</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://ideas.repec.org/p/ieu/wpaper/37.html</style></url></web-urls></urls><number><style face="normal" font="default" size="100%">06/2011</style></number><publisher><style face="normal" font="default" size="100%">Universidade Nova de Lisboa, IET/CICS.NOVA-Interdisciplinary Centre on Social Sciences, Faculty of Science and Technology</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;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.&lt;/p&gt;
</style></abstract><work-type><style face="normal" font="default" size="100%">IET Working Papers Series</style></work-type><notes><style face="normal" font="default" size="100%">n/a</style></notes></record></records></xml>