Towards a common measure of greenhouse gas related logistics activity using data envelopment analysis

R. Holden, B. Xu, M. Greening, M. Piecyk, P. Dadhich

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    Monitoring company emissions from freight transport is essential if future greenhouse gas (GHG) reductions are to be realised. Modern economies are characterised increasingly by lower density freight movements. However, weight-based measures of freight transport activity (tonne-kilometre, tonnes lifted) are not good at describing volume-limited freight. After introducing the need for performance measurement, the problem of benchmarking is outlined in more detail. A context-dependent undesirable output data envelopment analysis (DEA) model, designed to be sensitive to business context, is then tested on a simulated set of fleet profiles. DEA can produce more consistent measures of good-practice, compared to ratio-based key performance indicators (KPI), providing emission reduction targets for companies and an aggregate reporting tool.
    Original languageEnglish
    Pages (from-to)105-119
    Number of pages15
    JournalTransportation Research Part A: Policy and Practice
    Early online date6 Jul 2016
    Publication statusPublished - Sep 2016



    • logistics
    • data envelopment analysis
    • carbon measurement

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