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Article
Peer-Review Record

Identification of Urban Functional Regions in Chengdu Based on Taxi Trajectory Time Series Data

ISPRS Int. J. Geo-Inf. 2020, 9(3), 158; https://doi.org/10.3390/ijgi9030158
by Xudong Liu 1,2, Yongzhong Tian 1,2,*, Xueqian Zhang 1 and Zuyi Wan 1
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Reviewer 3: Anonymous
ISPRS Int. J. Geo-Inf. 2020, 9(3), 158; https://doi.org/10.3390/ijgi9030158
Submission received: 27 January 2020 / Revised: 21 February 2020 / Accepted: 7 March 2020 / Published: 9 March 2020

Round 1

Reviewer 1 Report

The paper is an interesting one and tackle a topic relevant for research on urban areas. 

Some literature on urban areas and on urban functional regions is quite limited to local cases and particularly on Chinese literature. It should be extended to tackle more broadly some more general and international literature on urban areas and particularly on urban functional regions. 

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

This study investigates a methodological approach of identifying and assessing urban functional areas. Though it is an innovative research taking into consideration data mining, I think that the main drawback is that only taxis, as a means of transportation, are assessed. Therefore, I suggest that this should be clearly stated in the title and the abstract of the manuscript. Alternatively, further research should be conducted, including all means of transport, in order to be able to make general conclusions.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 3 Report

The work done by authors is interesting. However, some suggestions are proposed for further improvement.

 

Introduction

This introduction is lacking with sufficient information to powerup the body content of the manuscript. It is better to explore the literature and reconstructed the introduction section. As an overall spect, the poor introduction may be the season for melting the scientific value of the research.  

2.1. Study Area

LN 76-78: What is the source/s for this information? The study area map is required.

 

3.1. Generation of Training Sample

The explanation of categories (C1-C6) does not clear. Please explain clearly these categories with a table.

Please follow the MDPI caption format and lineup the Figure 8. The same issues also noticed form Figure 3 also.

 

Discussion

Please add image copied date and location (Lat., and Lon.) of each image in Table 2 because these images can update at any time. If in any case, no one will trust your results.  

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 3 Report

The manuscript has been improved and it seems to be fixed. However, a minor issue is noticed.

As I mentioned in the first round, Please follow the MDPI caption format for Figures 4 and 9. Those are not readable.

Author Response

Dear reviewer:   I'm sorry that I didn't fully understand what you meant in the first round of modification. After consulting the requirements of MDPI and referring to some literature published on MDPI, I have now added captions to the titles of figure 4 and figure 9 to explain each panel in figure 4 and figure 9.I have revised manuscript using the "Track Changes" function in Microsoft Word, which you can see in LN 177~ LN 182 and LN 329~ LN 335. I don't know if I fully understand what you mean. If the new caption still doesn't meet the requirements, please let me know, thank you very much.   Special thanks to you for your helpful comments.   Thank you and best regards!   Yours sincerely, Xudong Liu

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