超大特大城市住宅价格空间分布特征、影响因素及规划启示

Spatial Distribution Characteristics and Influencing Factors of Residential Prices in Megacities and Implications for Urban Planning

摘要:

以上海的住房市场为研究对象，基于图集数据并结合百度地图兴趣点（POI）开放数据，构建住宅价格空间分布特性模型，探究超大特大的住宅结构、城市交通设施、公共服务设施、商业服务设施和生态环境服务设施的可达性对住宅价格的影响，运用地理加权模型（GWR）分析各类城市设施对住宅价格影响的空间异质性。发现城市服务设施的可达性是影响住宅价格空间分布的主要因素，从宏观和微观两个层面探讨研究结论对城市规划的应用启示。

关键词:价格空间分布;Hedonic定价模型;空间异质性;多源数据;规划启示

Abstract:

This paper， focusing on the housing market in Shanghai and using atlas data and Baidu Map POI open data to develop a model of the spatial distribution characteristics of residential prices， explores the impact of accessibility to super-large residential structures， urban transportation facilities， public service facilities， commercial service facilities， and ecological environment service facilities on residential prices. It employs a geographically weighted model （GWR） to analyze the spatial heterogeneity of these impacts. The findings indicate that the accessibility of urban service facilities is the main factor influencing the spatial distribution of residential prices. This paper concludes with a discussion of the implications for urban planning at both macro and micro levels.

Key words:price spatial distribution;Hedonic pricing model;spatial heterogeneity;multi-source data;implications for urban planning