基于住宅价格视角的居住分异耦合机制与时空特征——以南京为例
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宋伟轩, 毛宁, 陈培阳, 袁亚琦, 汪毅
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Coupling mechanism and spatial-temporal pattern of residential differentiation from the perspective of housing prices:A case study of Nanjing
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Weixuan SONG, Ning MAO, Peiyang CHEN, Yaqi YUAN, Yi WANG
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| 表4 南京2009年房价GWR模型计算结果统计 |
| Tab. 4 Calculated results of the GWR model of Nanjing's housing prices in 2009 |
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| 变量 | 最小值 | 下四分位数 | 中位 | 上四分位数 | 最大值 | 平均值 | P值 | | C_OLD | -562.534 | -360.616 | -196.003 | 111.431 | 1263.878 | -102.969 | 0.462 | | C_SERVICE*** | 1073.873 | 1185.362 | 1396.980 | 2140.620 | 3957.786 | 1738.250 | 0.000 | | C_PLOT | -1232.072 | -170.375 | 82.498 | 175.513 | 253.969 | -4.615 | 0.458 | | C_SIZE | -343.809 | -117.141 | -10.698 | 29.271 | 240.273 | -58.115 | 0.170 | | L_CENTER | -1716.860 | -979.225 | -443.252 | 563.296 | 1727.027 | -216.891 | 0.128 | | L_LANDSCAPE*** | -3083.097 | -2817.858 | -2518.517 | -2034.413 | -851.022 | -2372.877 | 0.000 | | L_INTERTRA* | -1742.323 | -930.555 | -479.625 | -219.482 | 166.020 | -594.811 | 0.011 | | L_OUTERTRA | -895.019 | -431.275 | 2.393 | 369.167 | 915.041 | -13.879 | 0.314 | | S_SUPPORTIN*** | -112.809 | 302.302 | 323.074 | 410.711 | 1003.450 | 352.017 | 0.000 | | S_COMMERCE** | -396.258 | 200.733 | 235.320 | 297.724 | 4576.854 | 252.404 | 0.004 | | S_LEISURE | -1020.254 | -236.868 | -191.762 | -105.437 | 944.249 | -93.533 | 0.132 | | V_PLANNING | -525.910 | -147.206 | -90.950 | -22.692 | 251.774 | -86.639 | 0.697 | | V_EDUCATION** | -217.150 | 204.403 | 214.705 | 236.146 | 451.562 | 224.670 | 0.010 | | V_SCENERY*** | 138.925 | 313.681 | 384.455 | 435.595 | 487.755 | 370.365 | 0.001 | | V_SCARCITY*** | 470.006 | 1393.524 | 2082.319 | 3012.946 | 3723.114 | 2178.822 | 0.000 |
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