热带地理 ›› 2018, Vol. 38 ›› Issue (3): 384-393.doi: 10.13284/j.cnki.rddl.003027

• 论文 • 上一篇    下一篇

广州租赁住房的空间分布格局及其成因

卢俊文1,袁奇峰2,黄 哲1,李志刚3,4   

  1. (1.中山大学 地理科学与规划学院,广州 510275;2.华南理工大学 建筑学院,广州 510641; 3.武汉大学 城市设计学院,武汉 430072;4.湖北省人居环境工程技术研究中心,武汉 430000)
  • 出版日期:2018-05-05 发布日期:2018-05-05
  • 通讯作者: 袁奇峰(1965―),男,江西寻乌人,教授,博士生导师,主要研究方向为城市规划与设计,(E-mail)qfy510060@163.com
  • 作者简介:卢俊文(1991―),男,湖北枝江人,硕士研究生,主要研究方向为城市地理与城市规划,(E-mail)lujunwen695@163.com
  • 基金资助:
    国家自然科学基金(41422103,41771167)

Spatial Pattern and Causes of Rental Housing in Guangzhou

LU Junwen1,YUAN Qifeng2,HUANG Zhe1,LI Zhigang3,4   

  1. (1.School of Geography and Planning,Sun Yat-Sen University,Guangzhou 510275,China;2.School of Architecture,South China University of Technology,Guangzhou 510641,China;3.School of Urban Planning,Wuhan University,Wuhan 430072,China;4.Hubei Residential Environment Research Center of Engineering and Technology,Wuhan 430000,China)
  • Online:2018-05-05 Published:2018-05-05

摘要: 采用开放数据,并借助K-means聚类等空间计量方法,解析广州租赁住房空间的格局特征,结果发现:1)租赁住房空间与商品住房空间在中心城区具有明显的东西分离的分布特征,同时租赁住房空间沿交通线分布的趋势更为明显,并在中心城区外围形成几处集中分布的地区;2)广州租赁住房空间分为核心租赁地区、核心自住地区、次级租赁地区、外围租赁地区、低容量自住地区和其他地区6种类型;3)投资性购房热潮、城市发展战略导向与轨道交通建设、郊区化与同城化的共同影响促成了广州租赁住房的空间分布格局。

关键词: 租赁住房, 开放数据, 空间分布格局, 广州

Abstract: With rapid growing and expanding in urban China, it is of great significance to study how the housing space is being used, especially from the perspective of housing leasing. Existing studies paid plenty of attention to rental housing space and have found that historical inertia during the progress of market-oriented transformation, development of urban rail transit, the adjustment of urban structure and the construction of new towns are the main factors affecting the spatial distribution of rental housing in big cities in China, but these conclusions are mostly drawn from studies conducting on town and subdistrict scale, there is still a lack of empirical research about those from community scale. By using open data from government websites and business websites, this paper draws a picture of the rental housing space in Guangzhou, and attempts to make a demonstration analysis. It is found that rental housing space and commodity housing space are separate obviously in central Guangzhou, while there is a more obvious tendency of sitting along the traffic lines for rental housing space and it even gather in somewhere outside the central city. It employs spatial econometric approaches as K-means spatial clustering analysis to help explore the spatial distribution patterns of rental housing space, and the results show that the rental housing space of Guangzhou is divided into six different types including central leasing-dominated regions, central owner-occupied regions, secondary leasing-dominated regions, periphery leasing-dominated regions, owner-occupied regions of low resident population and the remainders. The results above verified the theoretical assumptions presented earlier in some extent, which represents the general characteristics of the distribution pattern of rental housing space in big cities in China, but these also reflect some particularity of the distribution pattern of rental housing space in Guangzhou. After extensive study, the causes of the spatial distribution patterns of rental housing in Guangzhou are summarized as follows: 1) The rise of investment-oriented housing-purchase boom around 2005 gave birth to the dividing pattern of central leasing-dominated regions and central owner-occupied regions in central urban area of Guangzhou. 2)The rapid development of urban rail transit truly plays an important role in shaping the secondary leasing-dominated regions, but in Guangzhou, the emerge of some of the secondary leasing-dominated regions are inextricably linked with urban development strategies like "extending to east and opening up to south" as well. 3) Industrial suburbanization and residential suburbanization are the forces resulting in the distribution pattern of periphery leasing-dominated regions like industry new towns and large residential communities, but in cross-boundary area between Guangzhou and Foshan (Guang-fo city), the force of Guang-fo integration is nonnegligible, which results in a unique type of periphery leasing-dominated region in Guangzhou. As the new policy of “Renting and buying a house enjoy equal rights” launched, this research may conduct much more significance in assisting housing policy, community administration and spatial planning. Around this theme and considering the situation in Guangzhou, it is instructive to improve the supply of public service and emphasize on distribution of public interest in central city, and quicken the pace of designing pertinent policies for rental housing space along the traffic lines and outside central city.

Key words: rental housing, open data, spatial pattern, Guangzhou