摘要
根据南昌市2016年7月至2018年6月共24期的692个商品住宅均价,利用时空立方体探究南昌市房价的时空分布特征。主要结论如下:1)南昌市的房价在时空尺度上有着非常明显的分异特征,且有着非常显著的增长趋势,在24个月的连续时间内基本呈现了强空间聚集模式,以高-高聚类和低-低聚类模式为主;2)沿江区域和中心城区以时空热点模式为主导分布,而城市外围区域主要表现为时空冷点模式,且时空热点区域的强度从未减弱,时空冷点区域有逐渐消失的趋势,这预示着南昌市的房价将进一步上涨。
Based on the price of 692 commercial residential buildings in 24 periods from July, 2016 to June, 2018 in Nanchang, this paper explores the spatial-temporal distribution characteristics of housing prices in Nanchang by using space-time cube method. The main conclusions are as follows: 1) The housing prices in Nanchang have very distinct characteristics on the spatial and temporal scales, and have a very significant growth trend, showing a strong spatial clustering pattern in 24 months'continuous time, with high-high clustering and low-low clustering pattern as the main pattern;2) The region along the Yangtze River and the central urban area are dominated by spatial-temporal hot spot pattern, while the urban periphery areas are dominated by spatial-temporal cold spot pattern. Furthermore, the intensity of space-time hotspot area has never been weakened, and the space-time cold point area has gradually disappeared, which indicates housing prices in Nanchang will rise in the future.
作者
陈云天
CHEN Yuntian(Geography and Environment Department, Jiangxi Normal University, 330022, Nanchang, PRC;Jiangxi Provincial Institute of Urban and Rural Planning and Design, 330200, Nanchang, PRC)
出处
《江西科学》
2019年第3期371-377,共7页
Jiangxi Science
基金
江西师范大学研究生创新基金项目(YJS2017016)
关键词
南昌市
房价
时空立方体
时空分布特征
Nanchang
housing prices
space-time cube
spatial-temporal distribution characteristics
