Data management and data collection techniques for sustainable distribution
Objective
This is a cross-project work module concerned with surveys and other data collection techniques required within the project. The objective of this module is to ensure that data collection techniques applied in the programme are compatible and closely coordinated. This will permit pooling of data across the consortium and minimise the data collection burden on companies participating in the surveys.
A consistent, systematic and comprehensive approach to data collection across the different work modules in the overall work programme is important due to the following issues regarding information on freight and distribution:
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Data is often incomplete and inconsistent
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Differences often occur in the units of measurement used
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Data is often held by many different organisations
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There is a shortage of data necessary for freight
This work module collected and structured central data and information sources.
Outputs
A detailed presentation and analysis is provided:
Jacques Leonardi, Michael Browne, Julian Allen, Tom Cherrett, Sharon Cullinane, Julia Edwards, Richard Eglese, Alan McKinnon, Maja Piecyk, Andrew Potter, Tony Whiteing, Allan Woodburn (2009): Data management and data collection techniques for sustainable distribution. Data needs and data review for Green Logistics research. London
To facilitate the use of data that are relevant to the 'green logistics' approach, a collection of links to main sources is in place.
To download free internal and external data, data sources, and documents on data management, please follow: Main data sources for Green Logistics research
updated 6 Oct 2008