Spatial Structure of Housing Prices in Nanchang, China
- 10.2991/amsm-16.2016.104How to use a DOI?
- residential district; housing prices; spatial pattern
Spatial variation of housing prices is an important contents of urban geography studies. Most efforts have studied space structure of residential district in big cities. The aim of this study was to apply it in a medium-sized city, Nanchang. Spatial autocorrelations analysis and Kriging interpolation method were used to explore the spatial distribution of residential district. Residential district data were based on 808 residential districts collected from two real estate websites at June 2015. In this transverse study, housing prices shows significant positive spatial correlation with significant characteristics of "shortcut" and "hydrophilic". Moreover, the spatial distribution of housing prices is unbalanced, which shows the feature of one major center and multiple sub-centers. Future research may benefit from additional longitudinal studies to confirm these findings.
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Liting Xu AU - Yeqiao Wang AU - Yu Xu AU - Yu Zhou AU - Zengzheng Wang PY - 2016/05 DA - 2016/05 TI - Spatial Structure of Housing Prices in Nanchang, China BT - Proceedings of the 2016 International Conference on Applied Mathematics, Simulation and Modelling PB - Atlantis Press SP - 456 EP - 459 SN - 2352-538X UR - https://doi.org/10.2991/amsm-16.2016.104 DO - 10.2991/amsm-16.2016.104 ID - Xu2016/05 ER -