Evidence map›Paper›PMID 35108043›Full record

ArticleScience advances2022

Rapid detection of high-emitting vehicles by on-road remote sensing technology improves urban air quality.

Yuhan Huang, Casey K C Lee, Yat-Shing Yam, Wai-Chuen Mok, John L Zhou, Yuan Zhuang, Nic C Surawski, Bruce Organ, Edward F C Chan

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
5.1field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 68 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 3 countries.

Yuhan HuangCentre for Green Technology, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia.ORCID 0000-0001-9800-8788
Casey K C LeeEnvironmental Protection Department, Hong Kong Special Administrative Region Government, Hong Kong, China.
Yat-Shing YamEnvironmental Protection Department, Hong Kong Special Administrative Region Government, Hong Kong, China.ORCID 0000-0002-3315-102X
Wai-Chuen MokCentre for Green Technology, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia.ORCID 0000-0002-1872-0634
John L ZhouCentre for Green Technology, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia.ORCID 0000-0003-1393-1608
Yuan ZhuangSchool of Automotive and Transportation Engineering, Hefei University of Technology, Hefei, China.
Nic C SurawskiCentre for Green Technology, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia.ORCID 0000-0003-2584-1044
Bruce OrganCentre for Green Technology, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia.ORCID 0000-0003-3769-2410
Edward F C ChanCentre for Green Technology, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia.
University of Technology Sydney · AUHefei University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vehicle emissions are the most important source of air pollution in the urban environment worldwide, and their detection and control are critical for protecting public health. Here, we report the use of on-road remote sensing (RS) technology for fast, accurate, and cost-effective identification of high-emitting vehicles as an enforcement program for improving urban air quality. Using large emission datasets from chassis dynamometer testing, RS, and air quality monitoring, we found that significant percentages of in-use petrol and LPG vehicles failed the emission standards, particularly the high-mileage fleets. The RS enforcement program greatly cleaned these fleets, in terms of high-emitter percentages, fleet average emissions, roadside and ambient pollutant concentrations, and emission inventory. The challenges of the current enforcement program are conservative setting of cut points, single-lane measurement sites, and lack of application experience in diesel vehicles. Developing more accurate and vertical RS systems will improve and extend their applications.

Identifiers

PMID35108043
PMCPMC8809542
OpenAlexW4210635445

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.