Evidence map›Paper›PMID 38505763›Full record

ArticleHealth equity2024

Advancing Transportation Equity and Safety Through Autonomous Vehicles.

Johnathon P Ehsani, Jeffrey P Michael, Takeru Igusa, Joshua Mueller, Chia-Hsiu Chang, Gayane Yenokyan

Abstract read
In one paragraph

Article in Health equity, 2024. 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

6 authors.

Johnathon P EhsaniJohns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0001-9869-1679
Jeffrey P MichaelJohns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Takeru IgusaJohns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Joshua MuellerJohns Hopkins Applied Physics Laboratory, Laurel, Maryland, USA.
Chia-Hsiu ChangJohns Hopkins Whiting School of Engineering, Baltimore, Maryland, USA.
Gayane YenokyanJohns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motor vehicle crashes are a leading cause of death in the United States, and disproportionately impact communities of color. Replacing human control with automated vehicles (AVs) holds the potential to reduce crashes and save lives. The benefits of AVs, including automated shuttles, buses, or cars could extend beyond safety to include improvements in congestion, reductions in emissions, and increased access to mobility, particularly for vulnerable populations. However, AVs have not attained the level of public trust that has been expected, given their potential to save lives and increase access to mobility. Public opinion surveys have highlighted safety and security concerns as reasons for this lack of confidence. In this study, we present the findings of an experiment we conducted to actively shift mindsets on AVs toward advancing health equity. We demonstrate through a nationally representative sample of 2265 U.S. adults that the public support for AVs can be improved by expanding their scope of application to include advancing social benefit. The survey began with questions on respondent's support for AVs based on

Indexed as

autonomous vehiclespublic supportsocial benefit

Identifiers

PMID38505763
PMCPMC10949946

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.