Evidence map›Paper›PMID 38013982›Full record

ArticleResearch in transportation business & management2022

Understanding the perceived behavior of public utility bus passengers during the era of COVID-19 pandemic in the Philippines: Application of social exchange theory and theory of planned behavior.

Maela Madel Cahigas, Yogi Tri Prasetyo, Satria Fadil Persada, Ardvin Kester S Ong, Reny Nadlifatin

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Article in Research in transportation business & management, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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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

5 authors.

Maela Madel CahigasSchool of Industrial Engineering and Engineering Management, Mapúa University, Manila, Philippines, 658 Muralla St., Intramuros, Manila 1002, Philippines.
Yogi Tri PrasetyoSchool of Industrial Engineering and Engineering Management, Mapúa University, Manila, Philippines, 658 Muralla St., Intramuros, Manila 1002, Philippines.
Satria Fadil PersadaEntrepreneurship Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta 11480, Indonesia.
Ardvin Kester S OngSchool of Industrial Engineering and Engineering Management, Mapúa University, Manila, Philippines, 658 Muralla St., Intramuros, Manila 1002, Philippines.
Reny NadlifatinDepartment of Information Systems, Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo, Surabaya 60111, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the years, passengers in the Philippines have relied on public utility bus (PUB) to reach a destination. However, PUB has been greatly affected by the adverse effects of the coronavirus disease (COVID-19) outbreak. Therefore, the study analyzed passengers' behavior using PUB during the COVID-19 pandemic by integrating social exchange theory (SET) and the theory of planned behavior (TPB). A total of 505 PUB users completed the online questionnaire containing sixty-seven (67) measures. Through confirmatory factor analysis - structural equation modeling (CFA-SEM), all the twelve (12) hypotheses were found significant. Accessibility, safety, economic benefit, and crisis management had a significant and positive influence on passengers' trust. Moreover, passengers' trust produced a significant positive influence on attitude, subjective norm, and perceived behavioral control. Additionally, attitude, subjective norm, and perceived behavioral control generated a significant positive influence on the intention to use PUB. Furthermore, perceived behavioral control had a significant positive influence on perceived passenger behavior. Lastly, the intention to use PUB developed a substantial and positive influence on perceived passenger behavior. PUB companies and policymakers can utilize these findings to develop additional PUB reforms for the benefit of passengers, drivers, operators, companies, and the government during the COVID-19 pandemic.

Indexed as

And coronavirus disease (COVID-19)Confirmatory factor analysis – structural equation modeling (CFA-SEM)Public utility bus (PUB)Social exchange theory (SET)Theory of planned behavior (TPB)

Identifiers

PMID38013982
PMCPMC9125046

What OpenQuestion holds

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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.