Road Infrastructure Investment Limits Based on Minimal Accidents Using Artificial Neural Network

Round 1

Reviewer 1 Report

The paper presents a model for the Annual-Road-Accident as a function of demographic, economic, passenger movement, freight movement, and road capital investments based on an Artificial-Neural-Network, Multiple-Linear-Regression, Poisson-Regression analysis. Authors argue the proposal outperforms previous models by showing that the inconsistent effect of road infrastructure investments on traffic accidents was shown to be due to a concave nonlinear relationship between the parameters.

The presented work is promising, nevertheless, its current presentation has several issues that I summarize in the following:

1) Although the manuscript gives an insight into the employ of well-grounded methods, the model's presentation lacks clarity. Authors are encouraged to improve Section 2.3 "Artificial Neural Network (ANN) Modelling". Such a section contains some inconsistencies and misspelled paragraphs, e.g. the notation of Equation 4 does not match the description given in line 211. In addition, explanations of the ANN Model, given in lines 210-231, have sloppy wording.

2) As an aside, the neural architecture depicted in Figure 1 has several details that lack explanations. Such a scheme is the core of the proposal and deserves a better presentation.

3) Most of the references have broken links and prevent a self-contained presentation.

4) The bibliography review seems old. Authors are encouraged to update the references, especially for the motivation section in the introduction.

5) The graphics of Section 3 lack proper interpretations and are not referenced.

Author Response

Revision Summary of Manuscript ID: "applsci-2021380"  

 

Title: "Road Infrastructure Investments Limit Based on Minimal Accidents Using Artificial Neural Network"

 

Dear Reviewer 1,

 

We would like to thank you and the reviewers for the comments on our manuscript titled "Road Infrastructure Investments Limits Based on Minimal Accident Using Artificial Neural Network", ID: "applsci-2021380". We have revised the manuscript carefully based on the constructive comments and suggestions given by you and the reviewers. A complete list of the revisions in the revised version of the paper is given in subsequent pages. We would like to thank all of you for your support on improving both the content and the structure of the paper.

 

Regards,

Md. Kamrul Islam*,  Muhammad Abubakar Dalhat * , Abdullah Al Mamun

 

Author Response File: Author Response.docx

Reviewer 2 Report

Dear Authors,

The paper shows an interesting topic, but you have to match the paper according to the instructions and the template.  Comments and recommendations for correction of the work are as follows:

Comment 1:

Reference should be listed as shown in the template. Authors’ surnames are not written in parentheses, but reference numbers are written in parentheses.

 

Comment 2:

An example of proper reference writing would be:

Line 40 -  “[1,17]” instead “ (Adeloye et al., 2016; Gopalakrishnan, 2012).” .

Comment 3:

Line 89- “United States” instead “United State”.

 

Comment 4:

Line 112- “United States” instead “United State”.

 

Comment 5:

Line 118- Correct the error “Error! Reference source not found.” .

 

Comment 6:

Line 134- Correct the error “Error! Reference source not found.)”.

 

Comment 7:

Table 1 is not mentioned anywhere in the text.  I guess it should have been mentioned in Line 134.

 

Comment 8:

Why was the working population adopted from 15 to 64 years old? I know you used OECD data, but it’s strange that you use data on people under 18 years old.

 

Comment 9:

Line 205- Correct the error “Error! Reference source not found.”. You probably meant Figure 1.

Comment 10:

Line 238- It would be better “.. proposed by Garson [14]” instead “proposed by Garson in”.

Comment 11:

Line 299- Correct the error “Error! Reference source not found. “. You probably meant Figure 2.

 

Comment 12:

Line 342- Correct the error “Error! Reference source not found. “. You probably meant Figure 3.

 

Comment 13:

Line 342- Correct the error “Error! Reference source not found. “. You probably meant Figure 4.

 

Comment 14:

Line 349- Correct the error “Error! Reference source not found.”.

 

Comment 15:

Line 356- Correct the error “Error! Reference source not found.”.

 

Comment 16:

Line 362- Correct the error “Error! Reference source not found.”.

 

Comment 17:

Figure 3 – It must be of better quality. Figure 4 is of better quality than Figure 3.

 

Comment 18:

Tables 3 and 4 are not mentioned in the text.

 

Comment 19:

Line 379- Correct the error “Error! Reference source not found.”

 

Comment 20:

Line 381- Correct the error “Error! Reference source not found.”.

 

Comment 21:

Line 392- Correct the error “Error! Reference source not found.”.

Comment 22:

Line 416- Correct the error “Error! Reference source not found.”.

 

Comment 23:

Line 420- Correct the error “Error! Reference source not found.”.

 

Comment 24:

Line 492- Correct the error “Error! Reference source not found.”.

 

Comment 25:

Line 511- Correct the error “ Error! Reference source not found.”.

 

Comment 26:

Line 518- Correct the error “Error! Reference source not found.”.

 

Comment 27:

Line 519- Correct the error “Error! Reference source not found.”.

 

Comment 28:

Line 519- Correct the error “Error! Reference source not found”.

 

Comment 29:

Line 542 to Line 573 - Conclusion-Different font (Please match the font throughout the text).

 

Comment 30:

It would be better if the tables in Appendix A were marked differently because there are already tables 1, 2, 3 in the main text. For example A1, A2, A3.

 

Comment 31:

Figure 6a– It must be of better quality.

 

Comment 32:

Figure 6b– It must be of better quality.

 

Comment 33:

Figure 7 – It must be of better quality.

 

Comment 34:

Please adapt the way of writing references to the template of the Applied Sciences journal.

 

Comment 35:

References 6 and 9 are from the same authors, but you named them differently (“Chan, C. Y., Huang, B., Yan, X., & Richards, S. “ vs “Chun Yip, C., Baoshan, H., Xuedong, Y., & Richards, S. “).

 

Comment 36:

Reference 36- Please add information (26, 1–9 (2011). https://doi.org/10.1007/s10869-010-9204-3).

 

Comment 37:

Please look at reference 52 and add information about it. (“, 26, 1–9. 10.1007/s10869-010-9204-3. “).

Author Response

Revision Summary of Manuscript ID: "applsci-2021380"  

 

Title: "Road Infrastructure Investments Limits Based on Minimal Accident Using Artificial Neural Network"

 

Dear Reviewer 2,

 

We would like to thank you and the reviewers for the comments on our manuscript titled "Road Infrastructure Investments Limits Based on Minimal Accident Using Artificial Neural Network", ID: "applsci-2021380". We have revised the manuscript carefully based on the constructive comments and suggestions given by you and the reviewers. A complete list of the revisions in the revised version of the paper is given in subsequent pages. We would like to thank all of you for your support on improving both the content and the structure of the paper.

 

Regards,

Md. Kamrul Islam*,  Muhammad Abubakar Dalhat * , Abdullah Al Mamun

 

Author Response File: Author Response.docx

Round 2

Reviewer 1 Report

The authors have addressed all my remarks. I consider that the proposal presentation has been improved considerably. Considering the methodological development, I suggest the paper may be considered for publication after a minor spell revision.

Author Response

Revision Summary of Manuscript ID: "applsci-2021380"  

 

Title: "Road Infrastructure Investments Limits Based on Minimal Accidents Using Artificial Neural Network"

 

Dear Reviewer 1,

 

We would like to thank you  for the comments on our manuscript titled "Road Infrastructure Investments Limits Based on Minimal Accident Using Artificial Neural Network", ID: "applsci-2021380". We have revised the manuscript carefully based on the constructive comments and suggestions given by you and the other reviewers. A complete list of the revisions in the revised version of the manuscript has been uploaded. We would like to thank all of you for your support in improving both the content and the structure of the manuscript.

 

Regards,

Md. Kamrul Islam*,  Muhammad Abubakar Dalhat * , Abdullah Al Mamun

Author Response File: Author Response.docx

Reviewer 2 Report

Dear Authors,

Thank you for additional explanations and for correcting the paper according to my recommendations.

Author Response

Revision Summary of Manuscript ID: "applsci-2021380"  

 

Title: "Road Infrastructure Investments Limits Based on Minimal Accidents Using Artificial Neural Network"

 

Dear Reviewer 2,

 

We would like to thank you for the comments on our manuscript titled "Road Infrastructure Investments Limits Based on Minimal Accident Using Artificial Neural Network", ID: "applsci-2021380". We have revised the manuscript carefully based on the constructive comments and suggestions given by you and the other reviewers. A complete list of the revisions in the revised version of the manuscript has been uploaded. We would like to thank all of you for your support in improving both the content and the structure of the manuscript.

 

Regards,

Md. Kamrul Islam*,  Muhammad Abubakar Dalhat * , Abdullah Al Mamun

 

Author Response File: Author Response.docx