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

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

    Research output: Contribution to journalArticle

    48 Downloads (Pure)

    Abstract

    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
    Volume91
    Early online date6 Jul 2016
    DOIs
    Publication statusPublished - Sep 2016

    Keywords

    • logistics
    • data envelopment analysis
    • carbon measurement

    Fingerprint Dive into the research topics of 'Towards a common measure of greenhouse gas related logistics activity using data envelopment analysis'. Together they form a unique fingerprint.

  • Cite this