Exploring Employment Spatial Structure Based on Mobile Phone Signaling Data: The Case of Shenzhen, China
Round 1
Reviewer 1 Report
Thank you for giving me this opportunity to read the manuscript entitled "Exploring employment spatial structure based on mobile phone signaling data: The case of Shenzhen, China". The topic of this manuscript is interesting and would be a good contribution to this field. I think it could be considered for publication in Land once the following issues are addressed.
- Please replace the keywords that already appear in the manuscript’s title with close synonyms or other keywords, which will also facilitate your paper to be searched by potential readers.
- The authors used one month of cell phone data for urban structure identification, but the following two questions need further clarification: (1) Are there significant changes in the mobility behaviour or distribution characteristics of citizens in different months/seasons? (2) If so, does this change affect the current results based on the June data.
- Line 59-60: Location-based service data from mobile-phone apps (e.g., social media apps) are also a dataset widely used for characterizing human mobility and dynamic population distribution. The point should be added in the statements here by citing some newly published papers, for example, "Dynamic assessments of population exposure to urban greenspace using multi-source big data" and "Dynamic assessment of PM2. 5 exposure and health risk using remote sensing and geo-spatial big data."
- A sensitivity analysis needs to be performed to demonstrate the effect of different scales of grids on the identification results and why a 250-m grid is a more reasonable choice.
- The resolutions of some of the figures in the manuscript should be improved.
- Figure 8 provides very rich information, but the necessary elements of legend, scale, and compass are missing. In addition, the Chinese language in the image is difficult for non-Chinese speakers to understand.
- Some discussion should be provided about whether the proposed approach can be used for the identification of other cities and what issues need to be taken into account when using it.
- Some grammatical errors exist in the manuscript. Therefore, a critical review of the manuscript’s language will improve readability.
Author Response
Please see the attachment.
Author Response File: 
Author Response.docx
Reviewer 2 Report
This paper is well-written. With large and high-quality mobile phone signialing data, the results are quite convincing. I would suggest the authors include some summary statisitics for the variables you used to construct the centrality measures. In addtion, there are some typos in the paper. Please check.
Author Response
Please see the attachment.
Author Response File: Author Response.docx
Reviewer 3 Report
This paper emphasized the spatial structure of Shenzhen city. The authors analyzed in depth the differences between each center's morphological centrality and functional centrality.
There is very well depicted the role of urban planning in the formation of the spatial structure in Shenzhen and the paper provides implications for future urban planning.
The conclusions are pertinent to the topic. The references section includes relevant articles in the knowledge area.
Author Response
Thank you for your comments. The manuscript has been further refined in the revised version.
Round 2
Reviewer 1 Report
Thank you for giving me this opportunity to read the revised version of the manuscript titled "Exploring employment spatial structure based on mobile phone signaling data: The case of Shenzhen, China", and for the detailed responses to my earlier comments. I am satisfied with this revised version, and I think it is acceptable now.
Author Response
We really appreciate your review comments and approval.
