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Article
Peer-Review Record

Research on the Siting Model of Emergency Centers in a Chemical Industry Park to Prevent the Domino Effect

Processes 2022, 10(11), 2287; https://doi.org/10.3390/pr10112287
by Kerang Cao 1, Linqi Liang 1, Yaru Liu 1, Liwei Wang 1, Kwang-Nam Choi 2 and Jingyu Gao 1,*
Reviewer 1:
Reviewer 2:
Processes 2022, 10(11), 2287; https://doi.org/10.3390/pr10112287
Submission received: 8 October 2022 / Revised: 18 October 2022 / Accepted: 26 October 2022 / Published: 4 November 2022

Round 1

Reviewer 1 Report

in the review report

Comments for author File: Comments.pdf

Author Response

Dear Reviewer,

Thanks very much for taking the time to review this manuscript. We appreciate all your generous comments and suggestions! Please find my itemized responses below and my revisions in the attachment.


1. Please, clarify which one of the assumptions is new in this area in the problem definition.

Response: 

1) This paper innovatively combines the prevention of the domino effect with multi-objective optimization theory, which has good applicability to solve the siting problem of emergency centers in chemical parks.
2) Based on the traditional siting model, the risk radius of the demand point is added, and a siting model combining risk and distance is proposed, which reduces the risk of accidents in the whole region.
3) An improved genetic algorithm is used and it is demonstrated that the improved genetic algorithm has good performance for solving multi-objective problems from an algorithmic point of view.

In response to your constructive suggestions, I have revised the abstract section and included the above. The changes have been fully annotated and the revised version has been placed in the attachment.

2. Please, check the grammar of the paper. 

Response: Thanks for your constructive suggestion. I have checked the English grammar of the whole article and annotated the corrections. The revised version has been placed in the attachment.

3. Author should update the introduction section to include the novel literatures to make the paper more convenient.

Response: Thanks for your kind suggestions. I update the introduction section to include the novel literatures. The revised version has been placed in the attachment.

We appreciated for reviewers' warm work earnestly, and hope that the correction will meet with approval. Once again, thank you very much for your comments and suggestions. If you have any questions, please contact us without hesitation.

Kind regards,
Ms. Jingyu Gao

Reviewer 2 Report

The paper should consider and consist of a GIS-based database for hazardous materials and vehicles that are considered in the algorithms. If they can implement these factors into the algorithms, the paper turns to a significant contribution. 

Author Response

Dear Reviewer,

Thanks very much for taking the time to review this manuscript. We appreciate all your generous comments and suggestions! Please find my response below and my revisions in the attachment.

Comments and Suggestions for Authors: The paper should consider and consist of a GIS-based database for hazardous materials and vehicles that are considered in the algorithms. If they can implement these factors into the algorithms, the paper turns to a significant contribution. 

Response: Thank you very much for your valuable comments. The setting up of a GIS-based database of hazardous materials and vehicles is very important for the algorithm. It will improve the efficiency of the algorithm in processing the initial data and facilitate direct access to the data information needed in the experiment. We have added a subsequent implementation of the GIS-based hazardous materials and vehicle database to the conclusion section of the thesis, and the specific changes are annotated in the attachment. In subsequent studies involving multiple chemical parks, we will build and implement GIS-based databases for hazardous materials and vehicles. Thank you again for your valuable comments, which will be of great importance to our future research.

We appreciated for reviewers’ warm work earnestly, and hope that the correction will meet with approval. Once again, thank you very much for your comments and suggestions. If you have any questions, please contact us without hesitation.

Kind regards,
Ms. Jingyu Gao

Author Response File: Author Response.docx

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