Peer Review History

Original SubmissionMarch 1, 2025
Decision Letter - Lei Zhang, Editor

Dear Dr.  Arpaci,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

This study is overall well-organized. But revisions are still needed before qualifying for this journal publication.

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We look forward to receiving your revised manuscript.

Kind regards,

Lei Zhang, PhD

Academic Editor

PLOS ONE

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 “This work was supported by the Dato’ Low Tuck Kwong International Energy Transition Grant under the project code of 202202002ETG.”

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Additional Editor Comments:

This study is generally well organized. But there are still some places that need further revisions or clarifications before qualifying for this journal publication.

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Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

Reviewer #1: Yes

Reviewer #2: Yes

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2. Has the statistical analysis been performed appropriately and rigorously? -->?>

Reviewer #1: Yes

Reviewer #2: No

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3. Have the authors made all data underlying the findings in their manuscript fully available??>

The PLOS Data policy

Reviewer #1: Yes

Reviewer #2: No

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4. Is the manuscript presented in an intelligible fashion and written in standard English??>

Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #1: This article, based on Behavioral Reasoning Theory (BRT), explores the impact of environmental values, attitudes, behavioral intentions, and green behavior on V2X technology adoption, filling a gap in user behavior research in the V2X field. The research design is rigorous, using PLS-SEM to validate hypotheses, and the data collection and analysis processes are transparent. The results reveal the mechanism by which environmental values influence attitudes through dual paths of "reasons for and against," demonstrating theoretical innovation.

Reviewer #2: 1. The study samples are mainly concentrated in Türkiye, which may lead to regional deviation of results, limiting the universality and applicability of the study. Suggest expanding the sample size to include respondents from different countries and cultural backgrounds to enhance the generalizability and external validity of the study.

2. The study collected 1289 responses, of which only 332 were from EV drivers. The sample size may not be sufficient to fully represent the entire EV driver population, leading to regional bias in the results. Suggest increasing the sample size, especially among the target population (EV drivers), to improve the robustness and reliability of statistical analysis.

3. The use of convenience sampling and online surveys in research may introduce selection bias. It is recommended to adopt stricter random sampling methods and combine them with offline surveys to improve sample representativeness and reduce selection bias.

4. Research based on cross-sectional data cannot reveal the dynamic changes of attitudes and behaviors over time. Suggest conducting longitudinal research to track the attitudes and behavioral changes of EV drivers towards V2X technology, in order to provide a deeper understanding.

5. Although the model adopts Behavioral Reasoning Theory (BRT), it may not cover all factors that affect the adoption of V2X technology. It is suggested to consider incorporating other relevant theories (such as technology acceptance models, social impact theories, etc.) into the research framework to construct a more comprehensive theoretical model.

6. The literature review section may not cover all important research in the relevant fields. Suggest citing "Interacting multiple model-based ETUKF for efficient state estimation of connected vehicles with V2XV communication" and "Research on multi-lane energy-saving driving strategy of connected electric vehicle based on vehicle speed prediction" to expand the scope of the literature review and provide more comprehensive background support on V2X related technology.

7. As for the theoretical model developed based on "behavioral reasoning theory" proposed in this paper, the experimental part lacks the comparison between this method and other SOTA methods. It is suggested to use SOTA methods in related research fields as the baseline to prove the progressiveness of the proposed method. 

8. For the theoretical model developed based on the "behavioral reasoning theory" proposed in this paper, some other quantitative indicators should be selected or additionally involved to reflect the progressiveness of the method proposed in this paper.

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what does this mean? ). If published, this will include your full peer review and any attached files.

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Reviewer #1: No

Reviewer #2: No

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Attachments
Attachment
Submitted filename: Drivers of Vehicle to Everything .docx
Revision 1

We addressed all comments in a separate document.

Attachments
Attachment
Submitted filename: Response to Reviewers.docx
Decision Letter - Lei Zhang, Editor

Drivers of Vehicle-to-Everything (V2X) Adoption: A Behavioral Reasoning Theory Perspective

PONE-D-25-07382R1

Dear Dr. Ibrahim,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

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If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Lei Zhang, PhD

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

The revised submission is publishable in current form.

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

Reviewer #1: All comments have been addressed

Reviewer #2: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions??>

Reviewer #1: Yes

Reviewer #2: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously? -->?>

Reviewer #1: Yes

Reviewer #2: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available??>

The PLOS Data policy

Reviewer #1: Yes

Reviewer #2: No

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English??>

Reviewer #1: Yes

Reviewer #2: Yes

**********

Reviewer #1: This study, grounded in Behavioral Reasoning Theory (BRT), investigates the influence of environmental values, attitudes, behavioral intentions, and green behavior on the adoption of Vehicle-to-Everything (V2X) technology, addressing a gap in user behavior research within this field. Using Partial Least Squares Structural Equation Modeling (PLS-SEM), the study validates hypotheses and demonstrates that environmental values significantly shape user attitudes through dual pathways of "reasons for and against" adoption, showcasing theoretical innovation. While the research design is rigorous and the data analysis transparent, limitations include a geographically restricted sample (primarily from Turkey), a relatively small sample size (only 332 electric vehicle drivers), and reliance on cross-sectional data that cannot capture dynamic behavioral changes. Future research could enhance generalizability by expanding the sample across diverse regions, incorporating longitudinal designs, and integrating additional theoretical frameworks (e.g., Technology Acceptance Model) for a more comprehensive understanding.

Reviewer #2: All comments has been addressed. After modification, the conclusion of the article is more rigorous, the structure of the article is more reasonable, and it has a certain degree of innovation.

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what does this mean? ). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy

Reviewer #1: No

Reviewer #2: No

**********

Formally Accepted
Acceptance Letter - Lei Zhang, Editor

PONE-D-25-07382R1

PLOS ONE

Dear Dr. Arpaci,

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now being handed over to our production team.

At this stage, our production department will prepare your paper for publication. This includes ensuring the following:

* All references, tables, and figures are properly cited

* All relevant supporting information is included in the manuscript submission,

* There are no issues that prevent the paper from being properly typeset

You will receive further instructions from the production team, including instructions on how to review your proof when it is ready. Please keep in mind that we are working through a large volume of accepted articles, so please give us a few days to review your paper and let you know the next and final steps.

Lastly, if your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

If we can help with anything else, please email us at customercare@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Lei Zhang

Academic Editor

PLOS ONE

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