Evidence map›Paper›PMID 42344715›Full record

ArticleTransport policy2026

Tracking Longitudinal Changes in Awareness, Usage, and Trust in Autonomous Vehicles: Evidence from Large-Scale, Nationally Representative U.S. Surveys (2023-2025).

Adriana Valentina Farias, Shanjiang Zhu, Ying Liu

Abstract read
In one paragraph

Article in Transport policy, 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

3 authors.

Adriana Valentina FariasSid and Reva Dewberry Department of Civil, Environmental, and Infrastructure Engineering, George Mason University, US.
Shanjiang ZhuSid and Reva Dewberry Department of Civil, Environmental, and Infrastructure Engineering, George Mason University, US 4400 University Drive, MS 6C1, Fairfax, Virginia, 22030, USA.
Ying LiuCenter for Economic and Social Research, University of Southern California, US.

Funding

Enhancing engagement and participation of marginalized community residents in the UASU01AG077280 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Arie Kapteyn · 2023 to 2026
$50.9M
NIA NIH HHS U01 AG077280
6 · The paper itself

Abstract

Tracking attitudes toward autonomous vehicles (AVs) is crucial to understand the facilitators and barriers to the further integration of AVs into society. Despite rapid progress in AV deployment across several U.S. metropolitan areas, high-quality surveys, particularly longitudinal data, are lacking to track the secular trend in public trust and experience with AV technology. The current study draws on three waves of survey data from a nationally representative longitudinal panel, between 2023 and 2025, to examine trends in awareness, usage, and trust in AVs, and to assess in what ways exposure to AVs might shape public trust. Results from chi-squared and two-sample proportion tests suggested a gradual increase in AV awareness and use. A difference-in-differences (DiD) analysis further revealed that individuals who had previously used AVs, despite being a small group, exhibited significantly higher trust after exposure. Additionally, persistent demographic differences were observed in awareness, usage, and trust in AV technology. Younger, higher-income, and more educated individuals reported greater awareness and trust, whereas older adults and lower-income groups remained hesitant. Women expressed lower levels of trust and more uncertainty than men. While overall adoption remains limited, the findings imply that direct interaction with AVs, not just an increase in awareness, may be a key driver in building trust. Demonstration initiatives, in combination with public education, could be critical for deeper integration of AVs into day-to-day life. As deployment continues to accelerate, continued efforts to monitor the change in demographic disparities will be essential to ensure equitable access to AV technology.

Indexed as

attitudesautonomous vehiclesdifference-in-differences testlongitudinal studynational surveytrust

Identifiers

PMID42344715
PMCPMC13289598

What OpenQuestion holds

Textmetadata
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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.