Arid Land Geography ›› 2025, Vol. 48 ›› Issue (5): 941-950.doi: 10.12118/j.issn.1000-6060.2024.391
• Regional Development • Previous Articles
WANG Xueyi(), GENG Manguo, TANG Xianglong(
)
Received:
2024-06-25
Revised:
2024-07-29
Online:
2025-05-25
Published:
2025-05-13
Contact:
TANG Xianglong
E-mail:wangxueyi_97@163.com;tangxl@mail.lzjtu.cn
WANG Xueyi, GENG Manguo, TANG Xianglong. NIMBY influence by railway facilities in linear city based on housing prices[J].Arid Land Geography, 2025, 48(5): 941-950.
Tab. 1
Index system of characteristic price model"
特征类型 | 变量名称 | 变量含义 | 平均值 |
---|---|---|---|
建筑特征 | 房龄/a | 2023减去房产的建设年份 | 19.93 |
层数/层 | 多层赋值1、小高层赋值2、高层赋值3 | - | |
容积率/% | 小区总建筑面积/小区总用地面积 | 1.95 | |
绿地率/% | 小区绿地面积/小区总用地面积 | 26.14 | |
总户数/户 | 小区居住户数 | 527.84 | |
区位特征 | 到邻近地铁站距离/m | 同周边地铁站的最近距离 | 1122.44 |
到邻近公交站距离/m | 同周边公交站的最近距离 | 153.78 | |
到城市中心和商业中心距离/m | 同城市中心和与商业中心的最近距离 | 1384.40 | |
到商务中心距离/m | 同周边银行、商务楼的最近距离 | 353.28 | |
邻里特征 | 最邻近大型超市距离/m | 同周边大型超市的最近距离 | 2310.46 |
最邻近大型商场距离/m | 同周边大型商场的最近距离 | 1075.90 | |
最邻近公园广场距离/m | 同周边公园广场的最近距离 | 424.32 | |
是否有中学 | 1000 m范围内是否有中学(是1、否0) | - | |
是否有小学 | 1000 m范围内是否有小学(是1、否0) | - | |
最邻近铁路线距离/m | 同最近铁路线的直线距离 | 1287.43 | |
最邻近铁路车站距离/m | 同最近铁路车站的最近距离 | 3918.68 |
Tab. 2
Regression results of the eigenprice model"
特征类型 | 变量名称 | 回归系数 | 显著性 | 方差膨胀系数 |
---|---|---|---|---|
建筑特征 | 房龄 | -0.018 | 0.045* | 1.153 |
层数 | 0.001 | 0.897 | 1.171 | |
容积率 | 0.003 | 0.720 | 1.002 | |
绿地率 | 0.045 | 0.000*** | 1.068 | |
总户数 | 0.014 | 0.147 | 1.234 | |
区位特征 | 到邻近地铁站距离 | -0.138 | 0.000*** | 3.842 |
到邻近公交站距离 | -0.042 | 0.000*** | 1.062 | |
到城市中心和商业中心距离 | -0.098 | 0.000*** | 1.900 | |
到商务中心距离 | -0.068 | 0.000*** | 1.742 | |
邻里特征 | 最邻近大型超市距离 | -0.342 | 0.000*** | 9.917 |
最邻近大型商场距离 | -0.331 | 0.000*** | 1.933 | |
最邻近公园广场距离 | -0.136 | 0.000*** | 1.517 | |
是否有中学 | -0.029 | 0.003** | 1.361 | |
是否有小学 | -0.075 | 0.000*** | 1.387 | |
最邻近铁路线距离 | 0.175 | 0.000*** | 1.142 | |
最邻近铁路车站距离 | 0.017 | 0.000*** | 4.203 |
Tab. 3
Regression results of NIMBY effect interval of railway line"
邻避效应区间/km | 回归系数 | 显著性 | 方差膨胀系数 |
---|---|---|---|
0.0~0.2 | -0.269 | 0.000*** | 3.468 |
0.2~0.4 | -0.253 | 0.000*** | 3.722 |
0.4~0.6 | -0.177 | 0.000*** | 3.023 |
0.6~0.8 | -0.154 | 0.000*** | 2.782 |
0.8~1.0 | -0.106 | 0.000*** | 2.424 |
1.0~1.2 | -0.067 | 0.000*** | 2.788 |
1.2~1.4 | -0.001 | 0.950 | 2.603 |
1.4~1.6 | 0.101 | 0.151 | 2.197 |
1.6~1.8 | 0.771 | 0.032** | 2.111 |
1.8~2.0 | 0.086 | 0.543 | 1.390 |
Tab. 4
Regression results of NIMBY effect interval of railway station and yard"
邻避效应区间/km | 回归系数 | 显著性 | 方差膨胀系数 |
---|---|---|---|
0.0~0.2 | -0.119 | 0.000*** | 1.570 |
0.2~0.4 | -0.152 | 0.000*** | 1.997 |
0.4~0.6 | -0.147 | 0.000*** | 1.725 |
0.6~0.8 | -0.021 | 0.284 | 1.714 |
0.8~1.0 | -0.002 | 0.914 | 1.765 |
1.0~1.2 | 0.052 | 0.015** | 1.976 |
1.2~1.4 | 0.093 | 0.000*** | 1.949 |
1.4~1.6 | 0.006 | 0.787 | 1.873 |
1.6~1.8 | -0.019 | 0.358 | 1.961 |
1.8~2.0 | 0.018 | 0.358 | 1.666 |
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