Evidence map›Paper›PMID 40533472›Full record

ArticleNature communications2025

Equity and reliability of public electric vehicle charging stations in the United States.

Qiao Yu, Tristan Que, Lara J Cushing, Gregory Pierce, Ke Shen, Mayank Kejriwal, Yuan Yao, Yifang Zhu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Qiao YuDepartment of Environmental Health Sciences, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-1774-0860
Tristan QueDepartment of Computer Science, University of California, Los Angeles, Los Angeles, CA, USA.
Lara J CushingDepartment of Environmental Health Sciences, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0003-0640-6450
Gregory PierceLuskin Center for Innovation, University of California, Los Angeles, CA, USA.
Ke ShenInformation Sciences Institute, University of Southern California, Marina del Rey, CA, USA.
Mayank KejriwalInformation Sciences Institute, University of Southern California, Marina del Rey, CA, USA.ORCID http://orcid.org/0000-0001-5988-8305
Yuan YaoDepartment of Environmental Health Sciences, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0001-5981-2060
Yifang ZhuDepartment of Environmental Health Sciences, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA. yifang@ucla.edu.ORCID http://orcid.org/0000-0002-0591-3322

Funding

University of California (UC) R02CP6948
6 · The paper itself

Abstract

Equitable coverage and reliable operation of electric vehicle charging stations (EVCSs) are crucial for a just transition to a carbon-free future. Yet, a comprehensive national analysis of public EVCSs across different communities is lacking in the United States. Here, we utilize real-world reviews (n = 470,142) from a user-generated content platform to analyze public EVCSs at the census tract level. We find that disadvantaged communities (DACs) have 64% fewer public EVCSs per capita than non-DACs. This disparity rises to 73% when considering renters in multi-dwelling units. Additionally, EVCS users in DACs and urban areas experience significantly more reliability issues compared to those in non-DACs and rural areas, primarily related to hardware and technical failures. Given the limited access to home charging in DACs and their underserved public infrastructure, these findings highlight critical equity concerns and call for targeted investment in EVCS infrastructure and reliability improvements, particularly in DACs.

Identifiers

PMID40533472
PMCPMC12177045

What Socratic 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 Socratic graph.