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本文在城市空间分异的背景下,以天津市市内六区的宏观区域数据和微观楼盘样本为基础,采用Kriging插值法,描绘了天津市内六区住房价格空间分布格局。通过多层hedonic模型,分析了影响住房价格的多元作用因素。结果表明住房价格变化的41%能够由城市内部空间差异所解释。住房是否装修、建筑年代、交通的便捷性、与经济中心的距离等特征也显著影响着住房的价格。明晰住房价格的空间差异和关键影响因素,对于我们把握住房价格的分布和变化趋势、促进区域房地产市场均衡发展具有重要的意义,对城市管理的公共政策也有一定的借鉴意义。
Based on the macro-regional data and microscopic real estate samples of six districts in Tianjin City, this paper uses Kriging interpolation method to describe the spatial distribution pattern of housing prices in the six districts of Tianjin. Through the multi-layer hedonic model, the author analyzes the multiple factors that affect housing prices. The results show that 41% of the changes in housing prices can be explained by the differences in urban internal space. Housing is the decoration, the construction age, traffic convenience, distance from the economic center and other characteristics also significantly affect the price of housing. It is of great significance for us to grasp the distribution and trend of housing prices and promote the balanced development of regional real estate market. It is also of some reference to the public policies of urban management.