Next Article in Journal
A High-Resolution Spatial Distribution-Based Integration Machine Learning Algorithm for Urban Fire Risk Assessment: A Case Study in Chengdu, China
Next Article in Special Issue
Using Dual Spatial Clustering Models for Urban Fringe Areas Extraction Based on Night-time Light Data: Comparison of NPP/VIIRS, Luojia 1-01, and NASA’s Black Marble
Previous Article in Journal
Portraying the Influence Factor of Urban Vibrancy at Street Level Using Multisource Urban Data
Previous Article in Special Issue
Spatio-Temporal Relevance Classification from Geographic Texts Using Deep Learning
 
 
Article
Peer-Review Record

Knowledge Graph Construction to Facilitate Indoor Fire Emergency Evacuation

ISPRS Int. J. Geo-Inf. 2023, 12(10), 403; https://doi.org/10.3390/ijgi12100403
by Mingkang Da 1,2,3, Teng Zhong 1,2,3,* and Jiaqi Huang 1,2,3
Reviewer 1: Anonymous
Reviewer 2:
Reviewer 3:
ISPRS Int. J. Geo-Inf. 2023, 12(10), 403; https://doi.org/10.3390/ijgi12100403
Submission received: 17 July 2023 / Revised: 10 September 2023 / Accepted: 24 September 2023 / Published: 3 October 2023

Round 1

Reviewer 1 Report

Please see the attached file below.

Comments for author File: Comments.pdf

Extensive editing of English language is required.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Dear Authors, this manuscript is well designed and the content well explained. The topic of your research is very interesting, because integrates big data analysis and spatial analysis, to generate a knowledge graph, useful to find accessibility solutions, and to avoid disasters.

Below I underlined some corrections and suggestions:

 

- Lines 70-71. Please add some refererences related to possible 

evacuation scenes and explain why this construction has 

a strong development potential

 

- Line 133. Please add some refererences related to the management 

of mass data and the data conversion simplification thorugh the use of KG

 

- Line 153. Please add some refererences regarding the mentioned studies.

 

lines 153-155. Please add some refererences that confirm this thesis.

 

line 160. Please explain this concept in a clearer way.

 

lines 379-382- Please explain the concept in a clearer way, dividing the sentence in multiple parts.

 

Figure 7- Please use a legend to explain better the content of the figure. It is not clear.

 

Your english is fine, needs only minor checks.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 3 Report

The paper studied the knowledge graph construction to facilitate indoor fire emergency evacuation. Especially, the authors tested the practicability of the proposed method in the case of "5·25" fire accident in Pingdingshan, Henan, China. However, there are some comments on this paper.

1. Actually, the evacation is related with many detailed parameters, especially the fire development process. However, the current proposed parameters is very limited, it is hard to describe the fire development, such as the HRR, smoke toxicity, visibility, etc, which can siginificantly affect the evacuation.

2. The  knowledge graph is only verified by one case, it is not enough, more cases should be added.

It is OK.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 3 Report

Accept

It's OK.

Back to TopTop