南京市城市土地价格空间分布特征

城市土地供给是城市扩张的重要支撑,分析城市不同类型的土地价格空间分布特征对于城市土地的合理开发具有重要意义,并已成为学者们研究城市扩张过程的重要视角。采用传统统计学与地统计学方法,以住宅、工业、商服三种不同土地利用类型的出让价格为样本,分析了南京市2001-2010年土地交易价格的统计特征及空间分布特征。结果表明,土地用途不同,其出让价格的空间分布特征也不同。商服用地对商服繁华度要求较高,价格高值区集聚在市中心,以新街口、夫子庙等商贸商务区为中心,向外围价格逐渐降低,为典型的单中心布局模式;住宅用地对环境质量要求较高,价格高值区相对商服用地集聚度有所下降,并呈现出由市中心向外迁移的趋势,圈层布局态势明显;工业用地由于有较高的对外交通条件要求,以及环境成本约束和政策导向,除部分对研发及基础设施等条件要求较高的高新技术等工业外,大多布局在远离市中心,区位条件良好的沿江产业园区及工业区内,呈现多中心发展格局。

Spatial distribution of urban land prices in Nanjing

Urban land supply is an important part of the foundation for urban expansion. Analyzing the spatial pattern of the price of different types of land is of great significance to urban land rational development, and it has become an important perspective from which researchers examine the process of urban expansion. By using the methods of conventional statistics and geostatistics, taking the selling prices of residential, industrial, and commercial land during 2001-2010 as samples, we analyzed the statistical characteristics and spatial distributions of transaction-based land prices in Nanjing City. The results showed that the spatial distributions of selling price are different for different types of land-use. Commercial land price is highly dependent on the extent of business activity of CBD (central business district), and the high value areas are concentrated near the center of the city—Xinjiekou & Confucius Temple District. The land price gradually reduces toward the periphery, showing a typical single-centered pattern. Residential land price is consistent with the level of environmental quality; high value areas have lower level of aggregation by comparison to commercial land, showing a trend of shift from the center to periphery of the city in a clear pattern of circular layers. Industry land price is determined mainly by outbound traffic conditions, environmental costs and the policy effects; the locations are further away from the city center, except for the industrial activities that have high demand of basic infrastructures and other conditions, such as high-tech industries. The distribution of industry land shows a multi-centered pattern.