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

Yuhan Huang; Nic C. Surawski; Yat Shing Yam; Casey K.C. Lee; John L. Zhou; Bruce Organ; Edward F.C. Chan

doi:10.1038/s41893-020-0573-y

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

Yuhan Huang^*
, Nic C. Surawski
, Yat Shing Yam
, Casey K.C. Lee
, John L. Zhou^*
, Bruce Organ
, Edward F.C. Chan

^*Corresponding author for this work

Research output: Journal Publication › Article › peer-review

50 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	904-907
Number of pages	4
Journal	Nature Sustainability
Volume	3
Issue number	11
DOIs	https://doi.org/10.1038/s41893-020-0573-y
Publication status	Published - Nov 2020
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

ASJC Scopus subject areas

Global and Planetary Change
Food Science
Geography, Planning and Development
Ecology
Renewable Energy, Sustainability and the Environment
Urban Studies
Nature and Landscape Conservation
Management, Monitoring, Policy and Law

Access to Document

10.1038/s41893-020-0573-y

Cite this

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title = "Re-evaluating effectiveness of vehicle emission control programmes targeting high-emitters",

abstract = "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.",

author = "Yuhan Huang and Surawski, \{Nic C.\} and Yam, \{Yat Shing\} and Lee, \{Casey K.C.\} and Zhou, \{John L.\} and Bruce Organ and Chan, \{Edward F.C.\}",

note = "Publisher Copyright: {\textcopyright} 2020, The Author(s), under exclusive licence to Springer Nature Limited.",

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doi = "10.1038/s41893-020-0573-y",

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AU - Huang, Yuhan

AU - Surawski, Nic C.

AU - Yam, Yat Shing

AU - Lee, Casey K.C.

AU - Zhou, John L.

AU - Organ, Bruce

AU - Chan, Edward F.C.

PY - 2020/11

Y1 - 2020/11

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85087622049

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DO - 10.1038/s41893-020-0573-y

M3 - Article

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JO - Nature Sustainability

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IS - 11

ER -

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

Abstract

UN SDGs

ASJC Scopus subject areas

Access to Document

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