广东工业大学学报 ›› 2015, Vol. 32 ›› Issue (04): 8-16.doi: 10.3969/j.issn.1007-7162.2015.04.002

• 博士生专栏 • 上一篇    下一篇

广州农村集资房空间分布特征及其影响因素研究——基于GIS空间分析和SPSS数理分析

吕凤琴,袁奇峰,陈世栋   

  1. 中山大学 地理科学与规划学院,广东 广州 510275
  • 收稿日期:2015-05-12 出版日期:2015-12-04 发布日期:2015-12-04
  • 作者简介:吕凤琴(1977-),女,博士研究生,主要研究方向为城市地理与城市规划.E-mail:373575648@qq.com
  • 基金资助:

    国家自然科学基金资助项目(U1404403)

Research on Spatial Distribution of Rural Co-operative Financing Housing and the Factors in Guangzhou:Based on GIS Spatial Analysis and SPSS Quantitative Statistics

Lü Feng-qin, Yuan Qi-feng, Chen Shi-dong   

  1. School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China
  • Received:2015-05-12 Online:2015-12-04 Published:2015-12-04

摘要: 农村地区的房地产开发由于与政策相悖而被禁止,受外部需求驱动,都市边缘区源起于农村集资房的小产权房开发呈蔓延趋势,成为学界关注的热点.论文结合空间分析方法和数理分析模型,基于Arc-GIS、SPSS等分析平台,以广州白云区为例,对其20世纪90年代农村集资房项目空间分布特征进行梳理,并根据区域发展特征,通过构建数理模型,揭示农村集资房发展过程的社会经济影响因素.结果表明:广州白云区农村集资房项目空间分布具有明显的交通指向性、空间集聚性及区域差异性;政策因素、区位条件及农民人均纯收入水平等是影响广州白云区农村集资房空间分异的主要因素.

关键词: 都市边缘区;小产权房; 农村集资房; 空间分布; 影响因素; 广州

Abstract: Due to the prohibition of real estate in rural areas by policies and strong demand for housing, the small property rights housing developed from the rural co-operative financing housing in the urban marginal areas becomes very popular, which receives much academic attention. By adopting Arc-GIS10.0 and SPSS software, the paper systematically analyzes the spatial distribution of the rural co-operative financing housing and its influencing factors in Guangzhou Baiyun District in the 1990s based on spatial analysis and mathematical analysis. The result indicates that the spatial distribution of the rural co-operative financing housing presents strong traffic directivity, spatial agglomeration and regional differences. And the factors of policy, location and income contribute much to the difference of the spatial distribution in the rural co-operative financing housing.

Key words: urban fringe; small property rights housing; rural co-operative financing housing; spatial distribution; influencing factors; Guangzhou

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