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

Listed author(s):
  • Holden, R.
  • Xu, B.
  • Greening, P.
  • Piecyk, M.
  • Dadhich, P.
Registered author(s):

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.

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Article provided by Elsevier in its journal Transportation Research Part A: Policy and Practice.

Volume (Year): 91 (2016)
Issue (Month): C ()
Pages: 105-119

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Handle: RePEc:eee:transa:v:91:y:2016:i:c:p:105-119
DOI: 10.1016/j.tra.2016.06.001
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