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

R. Holden, Bing Xu (), P. Greening, M. Piecyk and P. Dadhich

Transportation Research Part A: Policy and Practice, 2016, vol. 91, issue C, 105-119

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.

Keywords: Carbon measurement; Logistics activity; Benchmarking; DEA (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (2)

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DOI: 10.1016/j.tra.2016.06.001

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