Research on the Spatial Distribution Change of Chongqing Housing Price
- DOI
- 10.2991/978-94-6463-218-7_5How to use a DOI?
- Keywords
- Housing price; Nearest neighbor index; Kriging; Chongqing
- Abstract
In this paper, taking the main urban area of Chongqing as the research area, the average nearest neighbor analysis, the global Moran's I index, the LISA clustering map, and other analysis tools are used to explore the spatial distribution model and change the law of housing prices. At the same time, the ordinary Kriging analysis method is used to verify the spatial characteristics of housing prices. Finally, the spatial distribution changes and reasons of housing prices are deeply analyzed. The results show that: ① There is no obvious change in the spatial correlation of housing prices in the main urban area of Chongqing, which are positive spatial correlation. Jiangbeizui is still the housing price center in the main urban area of Chongqing. But the number of price sub-centers is increasing, and there is collaborative development among groups; ② Location, educational conditions, commerce, and other factors are important factors that affect the spatial distribution of housing prices.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Jinhong Xu AU - Jisi Su PY - 2023 DA - 2023/08/16 TI - Research on the Spatial Distribution Change of Chongqing Housing Price BT - Proceedings of the 2023 2nd International Conference on Urban Planning and Regional Economy (UPRE 2023) PB - Atlantis Press SP - 27 EP - 35 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-218-7_5 DO - 10.2991/978-94-6463-218-7_5 ID - Xu2023 ER -