建成环境对步行通勤通学的影响——以中国香港为例
|
刘吉祥, 周江评, 肖龙珠, 杨林川
|
Effects of the built environment on pedestrian communing to work and school: The Hong Kong case, China
|
Jixiang LIU, Jiangping ZHOU, Longzhu XIAO, Linchuan YANG
|
|
表5 空间计量模型分析结果 |
Tab.5 Results of spatial econometric models |
|
变量 | 职员 | | 学生 | SLM (M7) | | SEM (M8) | SLM (M9) | | SEM (M10) | 系数 | z值 | 系数 | z值 | 系数 | | z值 | 系数 | z值 | 女性百分比 | -0.096 | -1.042 | | -0.057 | -0.643 | | -0.133 | -0.682 | | -0.175 | -0.909 | 平均年龄 | 0.001 | 1.346 | | 0.001 | 1.578 | | 0.005** | 2.544 | | 0.005** | 2.858 | 平均家庭收入 | -2.763E-07** | -2.069 | | -1.027E-07 | -0.747 | | -6.053E-07** | -2.144 | | -5.067E-07* | -1.748 | 平均家庭规模 | -0.024** | -2.155 | | -0.026** | -2.319 | | -0.036 | -1.624 | | -0.037 | -1.626 | 在TPU内部通勤通学的百分比 | 0.335** | 9.689 | | 0.395** | 10.876 | | 0.389** | 12.167 | | 0.390** | 12.208 | 人口密度 | -2.374E-07** | -2.087 | | -2.011E-07* | -1.744 | | 5.693E-07** | 2.191 | | 6.290e-07** | 2.422 | 容积率 | 0.010** | 3.389 | | 0.009** | 3.003 | | -0.008 | -1.324 | | -0.003 | -0.449 | 土地利用混合度 | -0.005 | -0.505 | | -0.012 | -1.289 | | 0.056** | 2.671 | | 0.050** | 2.441 | 道路交叉口密度 | 0.0001** | 2.392 | | 0.0001** | 2.540 | | 0.0001* | 1.898 | | 0.0001 | 1.773 | 距最近地铁站距离 | -2.600E-07 | -0.145 | | -1.574E-06 | -0.881 | | 3.012E-06 | 0.769 | | 2.236E-06 | 0.573 | 距CBD距离 | 6.147E-07 | 1.254 | | 5.371E-07 | 1.098 | | 3.588E-06** | 3.435 | | 2.863E-06** | 2.753 | 邻近中心性(搜索半径800 m) | 1.768E-05 | 0.999 | | 1.694E-05 | 0.969 | | -4.826E-05 | -1.233 | | -4.724E-05 | -1.216 | 常数 | 0.073 | 1.098 | | 0.044 | 0.659 | | -0.047 | -0.369 | | -0.031 | -0.231 | ρ (空间相关或依赖系数) | 0.263** | 5.660 | | 0.543** | 7.065 | | 0.158** | 3.239 | | 0.366** | 3.829 | R2 | 0.771 | | 0.778 | | 0.687 | | 0.691 | Log likelihood | 386.963 | | 385.323 | | 227.832 | | 227.374 | AIC | -745.927 | | -744.646 | | -427.664 | | -428.748 |
|
|
|