华东师范大学学报(自然科学版) ›› 2019, Vol. 2019 ›› Issue (6): 169-178.doi: 10.3969/j.issn.1000-5641.2019.06.016

• 地理学 • 上一篇    下一篇

城市服务设施对房价分布格局的影响力探究

张煊宜1,2,3, 施润和1,2,3,4   

  1. 1. 华东师范大学 地理信息科学教育部重点实验室, 上海 200241;
    2. 华东师范大学 环境遥感与数据同化联合实验室, 上海 200241;
    3. 华东师范大学 地理科学学院, 上海 200241;
    4. 华东师范大学 新能源与环境联合研究院, 上海 200062
  • 收稿日期:2018-10-18 出版日期:2019-11-25 发布日期:2019-11-26
  • 通讯作者: 施润和,男,副教授,硕士生导师,研究方向为定量遥感算法研究与应用.E-mail:rhshi@geo.ecnu.edu.cn. E-mail:rhshi@geo.ecnu.edu.cn
  • 作者简介:张煊宜,女,硕士研究生,研究方向为地理信息系统.E-mail:xuanyi_931204@163.com.
  • 基金资助:
    上海市浦东新区统计局普查中心统计项目；中央高校基本科研业务费项目

The impact of urban service facilities on house price dispersion

ZHANG Xuan-yi1,2,3, SHI Run-he1,2,3,4   

  1. 1. Key Laboratory of Geographical Information Science(Ministry of Education), East China Normal University, Shanghai 200241, China;
    2. Joint Laboratory for Environmental Remote Sensing and Data Assimilation, East China Normal University, Shanghai 200241, China;
    3. School of Geographic Science, East China Normal University, Shanghai 200241, China;
    4. Joint Research Institute for New Energy and the Environment, East China Normal University, Shanghai 200062, China
  • Received:2018-10-18 Online:2019-11-25 Published:2019-11-26

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摘要： 城市服务设施分布的空间分异性造成了住宅获取各类城市服务的便捷度差异.为享受更优质的生活，人们往往会愿意支付更昂贵的价格购房.本文基于空间分异性思想，利用地理探测器模型，将各类服务设施的分布密度作为影响因子，以2018年上海市的城市住宅价格为例，探究各类城市服务设施对城市住宅价格的影响力.结果表明：①上海市整体房价分布从内环沿轨道交通环线呈放射圈层向四周郊区递减.②越靠近市中心，城市服务设施对塑造房价分布空间格局的影响力越显著.③交通服务设施对上海市房价分布格局的影响力最显著，城市服务设施对房价分布格局的影响力受到不同区域空间功能差异的影响，因此在房价调控中需要注意城市服务设施的优化.

关键词: 地理探测器, 公共服务设施, 城市住宅价格, 上海

Abstract: Due to differences in the distribution of urban service facilities, people need to pay higher prices for better services. We use the Geodetector model to explore the impact of city service facilities on house prices. The results show that:① House prices decline from the center of the city to the surrounding suburbs. ② The closer to the city center, the stronger the influence of city service facilities on house prices. ③ Traffic facilities have the greatest influence on the distribution pattern of Shanghai's housing prices. In different urban functional areas, urban service facilities have different influences on house prices. It is important to pay attention to the optimization of urban service facilities in the regulation of house prices.

Key words: Geodetector, public service facilities, housing prices, Shanghai

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