A novel method for comparing passenger car fleets and identifying high-chance gross emitting vehicles using kerbside remote sensing data

Rushton, CE, Tate, JE orcid.org/0000-0003-1646-6852 and Shepherd, SP orcid.org/0000-0002-4420-3382 (2021) A novel method for comparing passenger car fleets and identifying high-chance gross emitting vehicles using kerbside remote sensing data. Science of The Total Environment, 750. 142088. ISSN 0048-9697

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Item Type: Article
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© 2020 Published by Elsevier B.V. This is an author produced version of an article published in Science of The Total Environment. Uploaded in accordance with the publisher's self-archiving policy. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.

Keywords: NOx; Vehicle emissions; Remote sensing; Real driving emissions; Clean air zone
Dates:
  • Published: 1 January 2021
  • Published (online): 6 September 2020
  • Accepted: 28 August 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Spatial Modelling and Dynamics (Leeds)
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Funder
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Aberdeen City Council Marischal Aberdeen City Council Marischal College
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Depositing User: Symplectic Publications
Date Deposited: 08 Sep 2020 13:17
Last Modified: 24 Feb 2025 13:06
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.scitotenv.2020.142088
Open Archives Initiative ID (OAI ID):

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