Evidence map›Paper›PMID 41592076›Full record

ArticlePloS one2026

Intention to adopt electric transportation services by university students in emerging countries.

Diego Marcelo Cordero, Maria Fernanda Villavicencio, Kleber Antonio Luna, Yonimiler Castillo

Abstract read
In one paragraph

Article in PloS one, 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

4 authors.

Diego Marcelo CorderoDepartment of Research, Academic Unit of Economic and Administrative Sciences, Catholic University of Cuenca, Bolívar, Cuenca, Ecuador.ORCID https://orcid.org/0000-0003-2138-2522
Maria Fernanda VillavicencioMarketing Research, Academic Unit of Economic and Administrative Sciences, Catholic University of Cuenca, Bolívar, Cuenca, Ecuador.
Kleber Antonio LunaDepartment of Research, Academic Unit of Economic and Administrative Sciences, Catholic University of Cuenca, Bolívar, Cuenca, Ecuador.
Yonimiler CastilloDepartment of Research, Academic Unit of Economic and Administrative Sciences, Catholic University of Cuenca, Bolívar, Cuenca, Ecuador.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study analyzed the factors influencing university students' intention to use electric bus services to commute to campuses in developing countries, specifically in Ecuador, Peru, and Colombia. A technology adoption model was proposed that integrates variables from the Technology Acceptance Model (TAM), Theory of Planned Behavior (TPB), and Unified Theory of Acceptance and Use of Technology (UTAUT), which helps in understanding, predicting, and explaining the acceptance and use of technologies, thus facilitating the design of strategies to improve adoption in various contexts. Data were collected from 1,158 students across different academic fields, genders, and academic levels in the countries studied. The analysis was conducted using structural equation modeling with the partial least squares technique. The key factors assessed included attitudes toward electric vehicles, perceived risk, consumer characteristics, emotions, hyperbolic discounting, intention to use electric transport, and social influence. The findings provide valuable insights into the determinants of electric transportation service adoption among university students and offer guidance for implementing sustainable transportation solutions in educational institutions in developing countries.

Indexed as

IntentionStudentsTransportationColombiaDeveloping CountriesEcuadorFemaleHumansMalePeruTheory of Planned BehaviorUniversitiesYoung Adult

Identifiers

PMID41592076
PMCPMC12843562

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.