Zuo, C, Birkin, M, Clarke, G et al. (2 more authors) (2018) Reducing carbon emissions related to the transportation of aggregates: Is road or rail the solution? Transportation Research Part A: Policy and Practice, 117. pp. 26-38. ISSN 0965-8564
Abstract
The transportation of aggregates from quarry to production site raises significant concerns over carbon emissions. A considerable body of literature argues that if more freight could be carried on the rail network, substantial reductions in carbon footprints could be made. This paper describes a modelling framework for estimating the spatial transfer or movement of aggregates between quarries in England and Wales and local authority districts (demand zones). A key part of this framework is the estimation of the carbon emissions associated with both road and rail travel. Once built and calibrated, the model is used for a variety of what-if scenarios relating to the increased use of rail (which includes the necessary construction of new uplifting facilities as well as the number of rail-linked quarries) against future road haulage undertaken through a modernised vehicle fleet. The latter is shown to provide a more realistic and economic solution to reducing carbon emissions associated with the transportation of aggregates.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 Elsevier Ltd. All rights reserved. This is an author produced version of a paper published in Transportation Research Part A: Policy and Practice. Uploaded in accordance with the publisher's self-archiving policy |
Keywords: | Primary aggregates; Microsimulation; Carbon emission; Spatial interaction model |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 16 Aug 2018 12:20 |
Last Modified: | 16 Aug 2019 00:43 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.tra.2018.08.006 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:134556 |