Evidence map›Paper›PMID 42370442›Full record

ArticleEnvironmental science & technology2026

Mobility and Income: Policy Insights to Support Public Electric Vehicle Charging Access.

Siobhan Powell, Marie-Louise Arlt

Abstract read
In one paragraph

Article in Environmental science & technology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Siobhan PowellGroup for Sustainability and Technology, Swiss Federal Institute of Technology Zurich (ETH Zurich), Weinbergstrasse 56/58, Zurich 8092, Switzerland.ORCID 0000-0003-2928-840X
Marie-Louise ArltDepartment of Law, Economics, and Business Administration, University of Bayreuth, Universitätsstrasse 30, 95447 Bayreuth, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Widespread electric vehicle use is a key step to tackling transportation emissions, but adoption has yet to take off beyond high-income communities. A lack of access to public charging stations can be a major barrier to adoption. In this paper, we analyze the distribution and typology of public charging stations found in low-, mid-, and high-income communities across the US. Our results describe a robust neighborhood advantage, where high income in the surrounding area coincides with higher numbers of public stations in lower income block groups. We further show that station types in lower income areas are associated with shorter stops, suggesting they are designed to serve pass-through demand. Future income-based policies for public charging infrastructure should consider how new stations fit local residents' mobility patterns and should use both local and neighborhood income to better target their support toward equal access for all future electric vehicle drivers.

Indexed as

IncomeTransportationElectricityMotor Vehiclesaccesscharging stationselectric vehiclesequitylow incomepolicypublic charging

Identifiers

PMID42370442
PMCPMC13374092

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.