Evidence map›Paper›PMID 37802993›Full record

ArticleNature communications2023

Rebound effects undermine carbon footprint reduction potential of autonomous electric vehicles.

Nuri C Onat, Jafar Mandouri, Murat Kucukvar, Burak Sen, Saddam A Abbasi, Wael Alhajyaseen, Adeeb A Kutty, Rateb Jabbar, Marcello Contestabile, Abdel Magid Hamouda

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
–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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
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

10 authors.

Nuri C OnatQatar Transportation and Traffic Safety Center, College of Engineering, Qatar University, Doha, Qatar. onatcihat@gmail.com.ORCID http://orcid.org/0000-0002-0263-5144
Jafar MandouriQatar Transportation and Traffic Safety Center, College of Engineering, Qatar University, Doha, Qatar.ORCID http://orcid.org/0000-0002-5964-1588
Murat KucukvarDepartment of Business Ethics & Legal Studies, Daniels College of Business, University of Denver, Denver, CO, USA.
Burak SenSAU Center for Research & Development, and Applied Research (SARGEM), Faculty of Engineering, Sakarya University, 54050, Sakarya, Turkey.ORCID http://orcid.org/0000-0003-2454-9287
Saddam A AbbasiStatistics Program, Department of Mathematics, Statistics, and Physics, College of Arts and Sciences, Qatar University, 2713, Doha, Qatar.ORCID http://orcid.org/0000-0003-1843-8863
Wael AlhajyaseenQatar Transportation and Traffic Safety Center, College of Engineering, Qatar University, Doha, Qatar.ORCID http://orcid.org/0000-0003-1757-1363
Adeeb A KuttyQatar Transportation and Traffic Safety Center, College of Engineering, Qatar University, Doha, Qatar.ORCID http://orcid.org/0000-0002-1129-7845
Rateb JabbarThe KINDI Center for Computing Research, College of Engineering, Qatar University, Doha, Qatar.ORCID http://orcid.org/0000-0002-4886-6458
Marcello ContestabileQatar Environment and Energy Research Institute, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
Abdel Magid HamoudaDepartment of Mechanical and Industrial Engineering, College of Engineering, Qatar University, Doha, Qatar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autonomous vehicles offer greater passenger convenience and improved fuel efficiency. However, they are likely to increase road transport activity and life cycle greenhouse emissions, due to several rebound effects. In this study, we investigate tradeoffs between improved fuel economy and rebound effects from a life-cycle perspective. Our results show that autonomy introduces an average 21.2% decrease in operation phase emissions due to improved fuel economy while manufacturing phase emissions can surge up to 40%. Recycling efforts can offset this increase, cutting emissions by 6.65 tons of Carbon dioxide equivalent per vehicle. However, when examining the entire life cycle, autonomous electric vehicles might emit 8% more greenhouse gas emissions on average compared to nonautonomous electric vehicles. To address this, we suggest; (1) cleaner and more efficient manufacturing technologies, (2) ongoing fuel efficiency improvements in autonomous driving; (3) renewable energy adoption for charging, and (4) circular economy initiatives targeting the complete life cycle.

Identifiers

PMID37802993
PMCPMC10558530

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.