基于POI的土地利用与轨道交通客流的空间特征
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彭诗尧, 陈绍宽, 许奇, 牛家祺
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Spatial characteristics of land use based on POI and urban rail transit passenger flow
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PENG Shiyao, CHEN Shaokuan, XU Qi, NIU Jiaqi
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表2 回归模型的参数β估计结果
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Tab. 2 Parameter estimation results of regression models
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| 粒度水平 | 影响因素/lip | OLS/β | SLM/β | SEM/β | SDM/β | GWR/β | | 1% | 5%
| 10% | 不显著 | 粗
粒
度 | 居住用地 | -4.929 | -4.733 | -4.519 | -2.532 | -13.274(18%) | -4.631(17%) | -2.155(8%) | -1.102(57%) | | 商业服务业设施用地 | 12.137*** | 12.057*** | 12.044*** | 11.721*** | 6.887(31%) | 4.237(12%) | 4.496(6%) | 1.342(51%) | | 公共管理与公共服务用地 | 54.224*** | 51.411*** | 53.537*** | 42.654*** | 9.663(41%) | 34.181(9%) | 8.592(4%) | 5.091(46%) | | 道路与交通设施用地 | 4.836* | 4.576 | 4.522 | 3.226 | 81.913(85%) | 96.526(1%) | 7.922(2%) | 11.669(12%) | | 绿地与广场用地 | -24.262 | -23.074 | -24.259 | -11.633 | -62.629(6%) | -1.910(5%) | -17.206(7%) | -6.857(82%) | | ρ | | 0.464 | | -0.278 | | | λ | | | 0.304 | | | 细
粒
度 | 居住 | -4.405 | -4.452 | -4.657 | -0.596 | 4.305(28%) | -4.103(13%) | -2.146(3%) | -2.044(56%) | | 写字楼 | 136.630*** | 136.930*** | 138.361*** | 131.143*** | 146.738(66%) | 102.819(5%) | 70.582(7%) | 22.748(22%) | | 公司单位 | 6.415 | 6.430 | 6.079 | 8.988 | 30.325(19%) | 13.698(7%) | 10.624(6%) | 1.245(68%) | | 科研教育 | -5.119 | -6.508 | -1.729 | -34.545 | -204.995(14%) | -46.527(12%) | -21.512(12%) | -11.767(62%) | | 政府机构 | 42.241 | 39.633 | 43.904* | 29.315 | 54.225(54%) | 44.685(10%) | 26.300(8%) | 13.107(28%) | | 对外交通 | -62.564*** | -61.790*** | -63.434*** | -58.885*** | 3.315(20%) | 58.661(27%) | 45.774(11%) | 19.068(42%) | | 公交车站 | -46.889 | -39.879 | -58.888 | -64.629 | (0%) | -581.734(2%) | -300.432(5%) | -70.24(93%) | | 绿地广场 | 6.227 | 6.876 | 6.577 | 11.821 | -90.427(3%) | 38.195(10%) | 87.552(1%) | 11.356(86%) | | ρ | | 0.380 | | -0.999* | | | λ | | | -0.355 | | |
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