ArticleScientific data2025
A high-resolution dataset on electric passenger vehicle characteristics in China and the European Union.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- A Full-Chain Dataset for Intelligent New Energy Vehicles based on High-fidelity Digital Twin Platform.Scientific data · 2026Article
- A high-resolution dataset on costs and greenhouse gas emissions of battery recycling in China.Scientific data · 2026Article
- A high-resolution dataset on electric passenger vehicle characteristics in China and the European Union.Scientific data · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
Abstract
China and the EU are the world's largest Electric Vehicle (EV) markets, making it crucial to understand their electrification progress for global insights. However, previous assessments of regional EV markets often provide broad EV market characteristic estimations, but neglect critical spatial and segmental heterogeneity, thereby limiting research and policy precision. To fill such a knowledge gap, this study proposes a multi-dataset fusion approach that enables the characterization of passenger vehicle electrification progress in both China and the EU at highly resolved spatial, segmental, and powertrain levels for the year 2023. The dataset includes EV sales, market penetration, battery chemistry mix, and sales-weighted average battery capacity for all wheelbase-defined segments across 31 provinces and municipalities in China, as well as the EU27, Iceland, and Norway. It characterizes the current state of passenger vehicle electrification in China and the EU and supports further research on critical material demand estimation, decarbonization performance assessment, and related topics.
Identifiers
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Registered trials
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.