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基于GWR模型的武汉市住宅地价影响因素研究
引用本文:单玉红,聂俊成. 基于GWR模型的武汉市住宅地价影响因素研究[J]. 华中农业大学学报(社会科学版), 2014, 33(5): 111-118
作者姓名:单玉红  聂俊成
作者单位:华中农业大学 公共管理学院,湖北 武汉 430070;华中农业大学 公共管理学院,湖北 武汉 430070
基金项目:国家自然科学基金青年基金项目“基于多主体和空间技术的城市住宅用地生态经济微观规划模型研究”(40801224);中央高校基本科研业务费专项资金资助项目“基于生态效率的土地差别化利用的实施保障机制研究”(2662014RW007)。
摘    要:采用文献综述法、地统计法、GWR模型等方法,在分析武汉市2004—2011年住宅地价空间分异特征的基础上,筛选影响住宅地价表现的因素构建GWR(地理加权回归)模型,探索每一影响因素对住宅地价影响力的区位差异,以期从微观区位的角度为城市规划和房地产开发提供建议。研究表明:总体而言,武汉市住宅地价空间呈现较为明显的单中心结构,并随着到市中心距离的增加呈圈层式递减;主干道、地铁及规划管制(容积率)对武汉市住宅地价表现的影响力较大;规划管制(容积率)、主干道、生活品市场及教育资源对住宅地价的影响力具有明显的空间分异特征,即以上因素对住宅地价的影响力在不同的微观区位具有统计学意义上的明显差异。

关 键 词:住宅地价  GWR模型  容积率  区位差异  武汉

Influencing Factors of Residential Land Price in Wuhan Based on GWR Model
SHAN Yu-hong,NIE Jun-cheng. Influencing Factors of Residential Land Price in Wuhan Based on GWR Model[J]. Journal of Huazhong Agricultural University(Social Sciences Edition), 2014, 33(5): 111-118
Authors:SHAN Yu-hong  NIE Jun-cheng
Affiliation:(College of Public Management, Huazhong Agricultural University , Wuhan , Hubei , 430070)
Abstract:Based on literature review method, Kriging interpolation, GWR model and analysis on spatial variation characteristics of 2004-2011 residential land price in Wuhan city,this paper screens fac- tors of residential land price and builds GWR model(geographically weighted regression) to explore the regional differences of residential land price influenced by each factor which will provide advice to urban planning and real estate development from the micro perspectives. The result shows that, first, the space of residential land price in Wuhan demonstrates single-centered structure on the whole, and shows a di- minishing circle style with the increasing distance from the city center; second, the main road, metro and planning control (floor area ratio) have the big influence on residential land price; thirdly, planning con- trol, main roads, supermarkets and educational resources have obvious spatial differentiation characteris- tics to residential land price. All the above factors on residential land price have great influence in differ ent micro-locations and the obvious difference is statistically significant.
Keywords:residential land price   GWR model   volume rate   regional differences   Wuhan
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