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5 2015年南京房价GWR模型计算结果统计 |
| Tab. 5 Calculated results of the GWR model of Nanjing's housing prices in 2015 |
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| 变量 | 最小值 | 下四分位数 | 中位 | 上四分位数 | 最大值 | 评均值 | P值 | | C_OLD | -1205.324 | -715.843 | -581.769 | -392.041 | 589.529 | -527.257 | 0.124 | | C_SERVICE*** | 1395.353 | 1514.711 | 1655.249 | 1939.195 | 3516.288 | 1777.131 | 0.000 | | C_PLOT*** | -1373.769 | -815.280 | -752.185 | -686.910 | -551.724 | -759.051 | 0.000 | | C_SIZE | -601.745 | -430.156 | -284.963 | -35.426 | 509.529 | -235.942 | 0.181 | | L_CENTER | -3069.603 | -2112.944 | -904.518 | -62.498 | 1468.768 | -1122.508 | 0.076 | | L_LANDSCAPE*** | -4638.966 | -3687.431 | -2854.224 | -2084.063 | -1031.691 | -2871.288 | 0.000 | | L_INTERTRA | -1841.457 | -1142.521 | -839.208 | -506.761 | 579.094 | -833.210 | 0.571 | | L_OUTERTRA | -1608.484 | -598.037 | 273.027 | 790.872 | 1078.591 | 90.483 | 0.211 | | S_SUPPORTIN | -500.027 | -404.819 | -324.338 | -206.879 | 814.324 | -280.149 | 0.735 | | S_COMMERCE | 79.198 | 159.061 | 241.169 | 289.770 | 860.681 | 236.151 | 0.098 | | S_LEISURE** | -1605.543 | -760.604 | -675.832 | -545.261 | 74.947 | -650.815 | 0.007 | | V_PLANNING | -1601.493 | -654.547 | -359.908 | -154.965 | 667.002 | -413.597 | 0.320 | | V_EDUCATION*** | -25.761 | 1187.295 | 1209.477 | 1222.740 | 1728.033 | 1187.924 | 0.000 | | V_SCENERY*** | 312.789 | 678.067 | 715.102 | 739.422 | 1305.627 | 704.577 | 0.000 | | V_SCARCITY*** | 657.846 | 1133.151 | 1176.707 | 1271.940 | 1745.879 | 1217.466 | 0.000 |
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