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Outlook - volume of freight transport (total and by mode)

External Data Spec Published 05 Jul 2010

Topics: Sustainability transitions , Transport ,

Provider:: World Business Council on Sustainable Development
Dataset URL:: http://www.wbcsd.org/web/publications/mobility/smp-model-spreadsheet.xls
Dataset path:: The volume of the fright transport (total and by mode) is one of the outputs of the IEA/SMP transport spreadsheet model (version 1.60). Model was run in 2004 with the input data indexed to 2000. Please see instructions on the fist introductory worksheet to find direction to the data set.

Related content

Indicators using this data

Freight transport demand - outlook from WBCSD

Freight transport demand - outlook from WBCSD Definition: Generally the indicator 'emissions of ozone precursors' tracks trends in anthropogenic emissions of ozone precursors: nitrogen oxides, carbon monoxide, methane and non methane volatile organic compounds, each weighted by their tropospheric ozone-forming potential. The outlook form IEA/SMP model provides information only for nitrogen oxides and carbon monoxide in transport sector. Model used: IEA/SMP Ownership: World Business Council for Sustainable Development Temporal coverage: 1990 - 2050 Geographical coverage: OECD Europe: Austria, Belgium, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Luxembourg, the Netherlands, Norway, Portugal, Spain, Sweden, Switzerland, Turkey, the United Kingdom; OECD North America: USA, Canada, Mexico; Former Soviet Union: Armenia, Azerbaijan, Belarus, Estonia, Georgia, Kazakhstan, Kyrgyzstan, Latvia, Lithuania, Republic of Moldova, Russian Federation, Tajikistan, Turkmenistan, Ukraine, Uzbekistan; Eastern Europe: Albania, Bosnia and Herzegovina, Bulgaria, Croatia, the Former Yugoslav Republic of Macedonia, Poland, Romania, Slovakia, Slovenia, Serbia and Montenegro; India; China

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For references, please go to https://www.eea.europa.eu/data-and-maps/data/external/outlook-volume-of-freight-transport or scan the QR code.

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