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

Richard Holden; Bing Xu; Philip Greening; Maja Piecyk; Pratyush Dadhich

doi:10.1016/j.tra.2016.06.001

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

Richard Holden, Bing Xu, Philip Greening, Maja Piecyk, Pratyush Dadhich

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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 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.

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

Carbon measurement;
Logistics activity;
Benchmarking;
Data Envelopment Analysis

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10.1016/j.tra.2016.06.001

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Philip Greening
- P.Greeninghw.acuk
- School of Social Sciences - Professor
- School of Social Sciences, Edinburgh Business School - Professor
Person: Academic (Research & Teaching)
Bing Xu
- B.Xuhw.acuk
- School of Social Sciences, Edinburgh Business School - Professor
- School of Social Sciences - Professor
Person: Academic (Research & Teaching)

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 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.",

keywords = "Carbon measurement; , Logistics activity; , Benchmarking; , Data Envelopment Analysis",

author = "Richard Holden and Bing Xu and Philip Greening and Maja Piecyk and Pratyush Dadhich",

year = "2016",

month = sep,

doi = "10.1016/j.tra.2016.06.001",

language = "English",

volume = "91",

pages = "105--119",

journal = "Transportation Research Part A: Policy and Practice",

issn = "0965-8564",

publisher = "Elsevier",

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TY - JOUR

T1 - Towards a common measure of greenhouse gas related logistics activity using data envelopment analysis

AU - Holden, Richard

AU - Xu, Bing

AU - Greening, Philip

AU - Piecyk, Maja

AU - Dadhich, Pratyush

PY - 2016/9

Y1 - 2016/9

N2 - 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.

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 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.

KW - Carbon measurement;

KW - Logistics activity;

KW - Benchmarking;

KW - Data Envelopment Analysis

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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