Evidence map›Paper›PMID 42901913›Full record

ArticleNature communications2026

Real-world mileage and survival of electric vehicles in Britain and implications for lifecycle emissions.

Daniel Mehlig, Iain Staffell

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Daniel MehligCentre for Environmental Policy, Imperial College London, London, UK. d.mehlig18@imperial.ac.uk.ORCID http://orcid.org/0000-0002-0367-0275
Iain StaffellCentre for Environmental Policy, Imperial College London, London, UK.ORCID http://orcid.org/0000-0003-1012-7075

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Battery electric vehicles (BEVs) are typically estimated to have lower attributional lifecycle greenhouse gas emissions than conventional internal combustion engine vehicles. These estimates rely upon lower usage emissions outweighing higher manufacturing emissions, but limited data on electric vehicle mileage, and how long they last, casts uncertainty over comparisons. Here we use data for every electric vehicle in Britain to assess mileage and lifetime compared to conventional and hybrid vehicles, and the implications for attributional lifecycle emissions. We find that first-generation BEVs were driven less and have not lasted as long as conventional vehicles, yet still had lower lifecycle emissions. The annual mileage and lifetime of BEVs purchased in 2026 will equal conventional vehicles if recent trends continue. Training a transformer neural network on this data, we estimate that current BEVs have projected attributional lifecycle emissions of 88 g CO

Identifiers

PMID42901913
PMCPMC13683361

What OpenQuestion holds

Textmetadata
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.