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.
|Number of pages||15|
|Journal||Transportation Research Part A: Policy and Practice|
|Early online date||6 Jul 2016|
|Publication status||Published - Sep 2016|
- data envelopment analysis
- carbon measurement
Holden, R., Xu, B., Greening, M., Piecyk, M., & Dadhich, P. (2016). Towards a common measure of greenhouse gas related logistics activity using data envelopment analysis. Transportation Research Part A: Policy and Practice, 91, 105-119. https://doi.org/10.1016/j.tra.2016.06.001