基于多源数据的惠州商品住宅房价分布及影响因素研究

On the Spatial Distribution and Influencing Factors of Commer cial Housing Price Huizhou Using Multi-source Data

我国商品房价格近年来不断上涨,促使房价变动的因素以及它们的影响程度日益变成社会热点。以惠州市商品房价格为研究对象,利用GIS的空间分析和可视化功能,结合各种可获得的数据,通过对商品房平均售价进行反距离权重插值和空间自相关分析,并结合地理加权回归分析,对影响房价分布的因素进行探究,结果显示:①惠州市房价总体上呈现出多中心分布的特点,商品房价格从这些峰值中心向周围递减;②惠州市的房价呈现空间上集聚分布的模式,商品房住宅价格空间分异是地理区位、城市规划、环境景观与房屋属性等各种因素综合作用的结果;③影响惠州市商品房价的因素主要是商圈距离、公园或广场距离、物业费等因素。

The price of commercial housing in China kept rising continuously in recent years,which makes the studies on influencing factors and influencing degree of housing prices become hot research topics.This article takes Huizhou city as an example to explore the spatial distribution and influencing factors of the commercial housing price.The spatial analysis and visualization in GIS are involved in this study based on multi-source data.Specifically,the approaches of inverse distance weighted interpolation,spatial auto-correlation analysis and geographically weighted regression are carried out.Results show that:①there are several hot-spots with high price of commercial houses,which show obvious core-periphery pattern;②there are local spatial agglomeration of commercial houses with similar prices.Such spatial variance is influenced by location,urban planning,landscape,and housing attributes;③the three most influencing factors are the proximity to the commercial circle,the distance to parks or squares and charges for property management.