**7. Limitations**

The article has some limitations. Firstly, the main one is the quality and accuracy of the GIS data: in fact, it is often difficult to obtain comprehensive and reliable data for research from public institutions and authorities in China. The research targets resettlement communities in Suzhou, but data are fragmented, not homogeneous and only partially available, so the authors created one dataset *ad hoc* starting from the dataset available and adding what is missing according to various direct and indirect sources.

Secondly, China's current urbanization rate reached 65.22% in 2022 and large-scale construction is slowing down, leading to a slowdown in the densification process in most regions. It is still unclear whether the densification scenarios proposed in this article could also be applied to areas with less-developed economic growth. In future research, we will try to address these limitations.

**Author Contributions:** Conceptualization, P.P. and J.C.; methodology, P.P., J.C. and H.W.; software, J.C. and H.W.; analysis and investigation, P.P. and J.C.; resources and data curation, J.C., H.W. and Z.Y.; writing, J.C. and P.P.; visualization, J.C., H.W. and Z.Y.; supervision, P.P.; funding acquisition, P.P. All authors have read and agreed to the published version of the manuscript.

**Funding:** This research was funded by Xi'an Jiaotong-Liverpool University, RDF-17-02-25.

**Informed Consent Statement:** Informed consent was obtained from all subjects involved in the study.

**Data Availability Statement:** As official data about the resettlement communities and their floating populations is not available, data about the resettlement communities were obtained from the webpages of the largest real estate agencies in China: Anjuke lnc., Lianjia.com, and Soufun.com, and from visual information obtained from the most current satellite images. The authors can provide the data and the analysis upon request.

**Conflicts of Interest:** The authors declare no conflict of interest.
