Re-evaluating effectiveness of vehicle emission control programmes targeting high-emitters

Huang, Y; Surawski, NC; Yam, YS; Lee, CKC; Zhou, JL; Organ, B; Chan, EFC

Re-evaluating effectiveness of vehicle emission control programmes targeting high-emitters

Huang, Y

Surawski, NC Yam, YS Lee, CKC Zhou, JL Organ, B Chan, EFC

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Publisher:: NATURE PUBLISHING GROUP
Publication Type:: Journal Article
Citation:: Nature Sustainability, 2020
Issue Date:: 2020-01-01

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Field	Value	Language
dc.contributor.author	Huang, Y https://orcid.org/0000-0001-9800-8788
dc.contributor.author	Surawski, NC
dc.contributor.author	Yam, YS
dc.contributor.author	Lee, CKC
dc.contributor.author	Zhou, JL
dc.contributor.author	Organ, B
dc.contributor.author	Chan, EFC
dc.date.accessioned	2020-08-24T02:49:26Z
dc.date.available	2020-08-24T02:49:26Z
dc.date.issued	2020-01-01
dc.identifier.citation	Nature Sustainability, 2020
dc.identifier.issn	2398-9629
dc.identifier.issn	2398-9629
dc.identifier.uri	http://hdl.handle.net/10453/142302
dc.description.abstract	© 2020, The Author(s), under exclusive licence to Springer Nature Limited. Estimating emission distribution within a vehicle fleet is critical for air pollution control. Previous studies reported that more than half of total fleet emissions were produced by only the highest 10% emitters, making repairing or deregistering a small percentage of high-emitters the most cost-effective measure to control vehicle emissions. With diesel emissions data from chassis dynamometer testing and on-road remote sensing, we show that such a strategy may be oversimplified.
dc.language	English
dc.publisher	NATURE PUBLISHING GROUP
dc.relation.ispartof	Nature Sustainability
dc.relation.isbasedon	10.1038/s41893-020-0573-y
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Re-evaluating effectiveness of vehicle emission control programmes targeting high-emitters
dc.type	Journal Article
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Strength - CTWW - Centre for Technology in Water and Wastewater Treatment
utslib.copyright.status	open_access	*
dc.date.updated	2020-08-24T02:49:24Z
pubs.publication-status	Published

Abstract:

© 2020, The Author(s), under exclusive licence to Springer Nature Limited. Estimating emission distribution within a vehicle fleet is critical for air pollution control. Previous studies reported that more than half of total fleet emissions were produced by only the highest 10% emitters, making repairing or deregistering a small percentage of high-emitters the most cost-effective measure to control vehicle emissions. With diesel emissions data from chassis dynamometer testing and on-road remote sensing, we show that such a strategy may be oversimplified.

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http://hdl.handle.net/10453/142302