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

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

doi:10.1016/j.tra.2016.06.001

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

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

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21 Citations (Scopus)

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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 language	English
Pages (from-to)	105-119
Number of pages	15
Journal	Transportation Research Part A: Policy and Practice
Volume	91
Early online date	6 Jul 2016
DOIs	https://doi.org/10.1016/j.tra.2016.06.001
Publication status	Published - Sept 2016

Keywords

logistics
data envelopment analysis
carbon measurement

Documents and Links

10.1016/j.tra.2016.06.001

Holden, R et al (2016) Towards a common measure of greenhouse gas related logistics activity using data envelopment analysis
© 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 licensehttp://creativecommons.org/licenses/by-nc-nd/4.0/ This is the accepted author manuscript of an article originally published in: Transportation Research Part A: Policy and Practice by Elsevier. The final publisher version is available via the DOI link below.
Author accepted manuscript, 492 KB

Cite this

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title = "Towards a common measure of greenhouse gas related logistics activity using data envelopment analysis",

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 = "logistics, data envelopment analysis, carbon measurement",

author = "R. Holden and B. Xu and M. Greening and M. Piecyk and P. Dadhich",

note = "Acceptance in SAN AAM: 18m embargo Exception email in SAN - editor suggested 2 alternative journals to submit to, both had embargoes >12 months. TR-A has a shorter embargo than JBL (24m) ET 2/11/18 Funded by EPSRC: The authors gratefully acknowledge the EPSRC for funding this work through its financial support of The Centre for Sustainable Road Freight (EPSRC Reference: EP/K00915X/1). Non-compliant due to 18 month embargo period [funder embargo limit 6 months after publication] ",

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pages = "105--119",

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AU - Holden, R.

AU - Xu, B.

AU - Greening, M.

AU - Piecyk, M.

AU - Dadhich, P.

N1 - Acceptance in SAN AAM: 18m embargo Exception email in SAN - editor suggested 2 alternative journals to submit to, both had embargoes >12 months. TR-A has a shorter embargo than JBL (24m) ET 2/11/18 Funded by EPSRC: The authors gratefully acknowledge the EPSRC for funding this work through its financial support of The Centre for Sustainable Road Freight (EPSRC Reference: EP/K00915X/1). Non-compliant due to 18 month embargo period [funder embargo limit 6 months after publication]

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AB - 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.

KW - logistics

KW - data envelopment analysis

KW - carbon measurement

U2 - 10.1016/j.tra.2016.06.001

DO - 10.1016/j.tra.2016.06.001

M3 - Article

SN - 0965-8564

VL - 91

SP - 105

EP - 119

JO - Transportation Research Part A: Policy and Practice

JF - Transportation Research Part A: Policy and Practice

ER -

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

Abstract

Keywords

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