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