Spatial Structure of Housing Prices in Nanchang, China

DOI

10.2991/amsm-16.2016.104How to use a DOI?

Keywords

residential district; housing prices; spatial pattern

Abstract

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.

Copyright

© 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/).

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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  -