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 transportactivity (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.
|Number of pages||15|
|Journal||Transportation Research Part A: Policy and Practice|
|Early online date||6 Jul 2016|
|Publication status||Published - Sep 2016|
- Carbon measurement;
- Logistics activity;
- Data Envelopment Analysis
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- School of Social Sciences, Edinburgh Business School - Associate Professor
- School of Social Sciences - Associate Professor
- Research Centres and Themes, Energy Academy - Associate Professor
- Research Centres and Themes, Centre for Finance & Investment - Associate Professor
Person: Academic (Research & Teaching)