地理研究 ›› 2018, Vol. 37 ›› Issue (12): 2554-2566.doi: 10.11821/dlyj201812015
所属专题: 人口与城市研究
张少尧1,2(), 时振钦1,2, 宋雪茜3, 邓伟1,2(
)
收稿日期:
2018-07-10
修回日期:
2018-10-08
出版日期:
2018-12-20
发布日期:
2018-12-20
作者简介:
作者简介:张少尧(1993- ),男,四川巴中人,博士研究生,主要从事山区聚落与城镇化研究。E-mail:
基金资助:
Shaoyao ZHANG1,2(), Zhenqin SHI1,2, Xueqian SONG3, Wei DENG1,2(
)
Received:
2018-07-10
Revised:
2018-10-08
Online:
2018-12-20
Published:
2018-12-20
About author:
Author: Shi Zhenqin (1988-), PhD, specialized in regional development and land space management in mountain areas. E-mail:
*Corresponding author: Deng Wei (1957-), Professor, specialized in mountain environment and regional development.
E-mail:
摘要:
基于成都市主城区各街道的流动人口数据,分析2010-2015年流动人口规模的空间分布格局及居住空间分异程度,并从流动人口行为决策的视角选取影响变量,分析其对居住自选择的影响程度及其空间差异,据此揭示居住自选择中的空间权衡过程,探讨流动人口的空间权衡对其居住自选择和居住空间格局形成的作用。结果表明:2010-2015年,成都流动人口在主城区南部和城市中心快速增加,其集聚态势为西高东低;流动人口相较于本地户籍人口表现出一定程度的居住空间分异性;流动人口占常住人口比、居住区面积、房租、公交、企业及生活服务设施对流动人口居住自选择有明显影响,且流动人口占常住人口比、居住区面积和房租影响显著,但影响关系受流动人口空间自相关影响显著;地理加权回归结果显示不同变量对居住自选择的解释能力存在空间差异性,流动人口通过不同变量空间分布的差异性权衡不同区域,以此完成居住自选择并最终形成居住空间格局。
张少尧, 时振钦, 宋雪茜, 邓伟. 城市流动人口居住自选择中的空间权衡分析——以成都市为例[J]. 地理研究, 2018, 37(12): 2554-2566.
Shaoyao ZHANG, Zhenqin SHI, Xueqian SONG, Wei DENG. Space trade-offs analysis in the urban floating population residential self-selection: A case study of Chengdu[J]. GEOGRAPHICAL RESEARCH, 2018, 37(12): 2554-2566.
表1
流动人口回归分析结果"
变量 | 经典线性回归 | 空间滞后模型 | 空间误差模型 | ||||||
---|---|---|---|---|---|---|---|---|---|
Coefficient | Probability | VIF | Coefficient | Probability | Coefficient | Probability | |||
占常住人口比 | 0.314 | 0.003* | 1.313 | 0.335 | 0.00014* | 0.374 | 0.00002* | ||
街道面积 | -0.001 | 0.070 | 6.244 | -0.00082 | 0.160 | -0.000 41 | 0.461 | ||
房租 | -1109.536 | 0.039* | 1.9154 | -670.731 | 0.175 | -1012.775 | 0.049* | ||
居住区面积 | 5276.621 | 0.0007* | 3.5994 | 4063.539 | 0.002* | 3961.595 | 0.009* | ||
企业 | 13.907 | 0.3617 | 3.6604 | 10.644 | 0.423 | 9.322 | 0.419 | ||
公交 | 26.576 | 0.553 | 4.493 | 33.328 | 0.394 | 27.622 | 0.485 | ||
商场 | -81.003 | 0.143 | 5.841 | -51.369 | 0.288 | -43.318 | 0.297 | ||
药店 | 627.435 | 0.0256* | 4.788 | 503.612 | 0.037* | 310.010 | 0.176 | ||
医院 | -213.722 | 0.397 | 4.377 | -64.306 | 0.771 | 149.298 | 0.469 | ||
餐馆 | 0.434 | 0.995 | 3.8097 | -52.431 | 0.368 | -67.974 | 0.189 | ||
CONSTANT | 42212.844 | 0.030* | - | 15053.04 | 0.434 | 37068.27 | 0.035* | ||
Lag coeff | - | - | 0.345 | 0.004* | - | - | |||
LAMBDA | - | - | - | - | - | 0.617 | 0.000* | ||
R2 | 0.566 | 0.612 | 0.660 | ||||||
Likelihood Ratio | - | - | - | 6.6459 | 0.009* | 12.0361 | 0.0005* | ||
Moran's I | 0.204 | 0.001* | - | - | - | - | - |
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