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D5 Annex report WP 3: ETIS Database methodology ... - ETIS plus

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<strong>D5</strong> <strong>Annex</strong> <strong>WP</strong> 3: DATABASE METHODOLOGY AND DATABASE USER MANUAL –<br />

FREIGHT TRANSPORT DEMAND<br />

5.2.4 Container data<br />

Not only data is needed about vehicle movements (transport data) or the movements of the<br />

commodities in them (trade data) but also information on the containers is of interest.<br />

Containers can have different origins and destinations than the commodities in them and the<br />

vehicles transporting them. These data therefore are of at least comparable value for the <strong>ETIS</strong><br />

reference database. An example of such data sources is the Piers database that describes the<br />

movements of containers between the USA and Europe where multiple transhipment is<br />

included. It will be attempted to make a distinction between filled and empty containers.<br />

The following container data sources are considered:<br />

· EUROSTAT COMEXT (container indicator, only for extra­EU trade)<br />

· UIRR<br />

· ICF<br />

· Piers database<br />

· Ports<br />

· Inland terminals<br />

5.2.5 Vehicle/vessel movement data<br />

This type of information is available in several sources.<br />

The following vehicle/vessel movement data sources are considered:<br />

· EUROSTAT New Cronos<br />

· National transport statistics<br />

Special attention has to be paid to movements of empty vehicle/vessels<br />

5.2.6 Relation with other datasets in the <strong>ETIS</strong> reference database<br />

State of the art<br />

All state of the art information collected will be incorporated in the freight demand dataset.<br />

Socio­economic dataset<br />

Where data gaps remain estimation procedure must be applied. These estimation procedures for<br />

a large part rely on socio­economic input data. The required socio­economic data can be<br />

different for each model. The following data can be seen as frequently used.<br />

· Population by sex and age classes (0­4, 5­9, ..., 65­70, > 70)<br />

· Gross value added by three sectors:<br />

• Agriculture, fishery, forestry<br />

• Industry<br />

34<br />

Document2<br />

27 May 2004

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