Evidence map›Paper›PMID 38167600›Full record

ArticleScientific reports2024

Impact of battery electric vehicle usage on air quality in three Chinese first-tier cities.

Wenjing Lyu, Ying Hu, Jin Liu, Kaizhe Chen, Peng Liu, Junjun Deng, Shaojun Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

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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

7 authors.

Wenjing LyuSloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, USA.
Ying HuSchool of Humanities and Social Sciences, Beijing Institute of Technology, Beijing, China.
Jin LiuSchool of Humanities and Social Sciences, Beijing Institute of Technology, Beijing, China. liujinedu@bit.edu.cn.
Kaizhe ChenSchool of Humanities and Social Sciences, Beijing Institute of Technology, Beijing, China.
Peng LiuNational Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing, China.
Junjun DengSchool of Physical Sciences, Beijing Institute of Technology, Beijing, China.
Shaojun ZhangInstitute of Air Pollution and Control, Tsinghua University, Beijing, China.

Funding

Ministry of Science and Technology, PRC QN2022178002LNational Science Foundation of China 72374023
6 · The paper itself

Abstract

China, the world leader in automobile production and sales, confronts the challenge of transportation emissions, which account for roughly 10% of its total carbon emissions. This study, utilizing real-world vehicle data from three major Chinese cities, assesses the impact of Battery Electric Vehicles (BEVs) on air quality. Our analysis reveals that BEVs, when replacing gasoline vehicles in their operational phase, significantly reduce emissions, with reductions ranging from 8.72 to 85.71 kg of CO

Identifiers

PMID38167600
PMCPMC10761960

What OpenQuestion holds

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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.