基于GWR的南京市住宅地价空间分异及演变

以南京市主城区为例，在空间自相关分析和蒙特卡罗检验的基础上，构建城市住宅地价地理加权回归模型，通过2003 年、2009 年住宅地价空间分异的对比，探讨不同影响因素对住宅地价影响的空间差异性及其随时间变化的特点，揭示住宅地价及其影响因素的空间变化关系，以促进地价的科学化管理。研究表明：① 随着影响因素数量不断增加以及合理均衡分布，区域差异性缩小，一般会减弱其对地价的影响。② 随着交通条件的不断完善，导致影响因素如CBD、主干道、公交等对地价的影响程度和范围发生变化。③ 随着时间推移，城市居民逐渐注重生活质量、居住品位的提高，公园绿地对地价的影响程度超过其他公用设施。

Research on spatial variation and evolution of residential land price in Nanjing based on GWR Model

This thesis, taking the downtown of Nanjing as an example, constructs a GWR model of the residential land price in urban areas based on spatial autocorrelation analysis and Monte Carlo Significance Test. After comparing the spatial variation of residential land prices in 2003 and 2009, this thesis probes into different factors in the spatial and temporal variations of residential land price, so as to reveal the relation between the space of residential land price and its influencing factors and to promote the scientific management of land price. The results indicate that: 1) a continuous increase of the influencing factors, as well as their reasonable distribution can narrow regional differences, and weaken their impacts on the land price; 2) due to the constant improvement of traffic facilities, the influencing factors, such as CBD, arterial roads, bus lines, witness variations in the degree and range of impacts on the land price; 3) as the city residents are paying attention to the improvement of living quality and taste over time, the impact of park and green space on land price exceeds that of any other public facilities.