Assessment and Examination of Emergency Management Capabilities in Chinese Rural Areas from a Machine Learning Perspective

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

Dear authors,

After a thorough review, I commend the efforts in employing innovative methodologies such as Projection Pursuit and Random Forest to evaluate rural emergency management capabilities. However, there are areas where improvements are necessary to enhance the manuscript's overall clarity and impact.

- Introduction: Expand the background to include recent global developments in rural emergency management. Additional references from similar geographic contexts would strengthen the introduction.

- Methods: Provide more explicit details on data preprocessing and computational procedures, including software used and parameter optimization techniques.

- Results and Figures: Enhance figure captions with more explanatory details. Annotate figures more thoroughly to improve standalone readability.

- Discussion and Implications: Extend the discussion to include global applicability and potential policy implications.

- Language and Grammar: Address minor grammatical issues and improve sentence flow for enhanced readability.

Best regards,

Comments on the Quality of English Language

The text contains minor grammatical errors and awkward phrasing that slightly detract from readability.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

Dear authors

The article is very interesting and well presented, dealing with a very interesting and important subject. The introduction deals well with the general context, perhaps a general figure for classifying areas by risk is necessary, there are a several in the literature. The methodology is well worked out for a topic as broad and a region as large as the study area. The results are well developed, with a good mathematical basis. They could improve with some statistical treatment techniques but in such a large region it could be more complicated. Figure are  well devoloped and can be undertanding. And conclusions are well presented and structurated, maybe can be improve with sugestions in the attached file. In my opinion the article is good but it needs a major revision of text errors such as superscript references, Saxon genitive, and other journal rules norms that should be revised. Other suggestions and questions are in the attached file.

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

Comments and Suggestions for Authors

The revised manuscript demonstrates significant improvements that effectively address the reviewers' initial concerns. The background section has been expanded to incorporate global developments in rural emergency management and references to similar geographic contexts, offering a more comprehensive framework. Details on data preprocessing and computational procedures have been thoughtfully included, with specific mentions of software and parameter optimization methods, thereby enhancing methodological transparency without overcomplicating the narrative. Figures now feature more detailed and explanatory captions, improving their interpretability. The discussion section has been broadened to consider globalization and policy implications, adding depth to the analysis. The language throughout the manuscript has been refined, resulting in improved readability and clarity. While minor issues, such as ensuring consistency in tense and terminology, could still be fine-tuned, these do not detract from the overall quality of the manuscript. Given the substantial improvements made, I recommend the publication of the current version.