自然科学版
陕西师范大学学报(自然科学版)
资源与环境科学
陕西省流动人口时空特征及其影响因素——基于第四、五、六次人口普查的研究
方蕾, 刘科伟*, 许玲, 李建伟
(西北大学 城市与环境学院, 陕西 西安 710127)
方蕾,女,硕士研究生,研究方向为区域与城乡规划。E-mail:fanglei904@163.com
摘要:
以三次人口普查年份为时间尺度,利用流动人口和社会经济指标数据,通过ArcGIS的全局、局域空间自相关分析模型等方法,研究了近30年来陕西省流动人口的数量变化、时空分布特征以及影响因素。结果表明:陕西省流动人口规模扩大,占常住人口比重增长趋势明显;流动人口空间分布处于不均衡态势,相对重心逐步向北移动;流动人口分布逐步自相关,空间聚集增强,形成了陕北高-高密度、关中高-低密度和陕南低-低密度三个聚集带;矿产资源开发、三次产业发展和流入地生活条件优越是陕西省流动人口时空分异的主要影响因素。
关键词:
陕西省; 流动人口; 空间自相关; 时空特征; 影响因素
收稿日期:
2014-06-18
中图分类号:
K901.3
文献标识码:
A
文章编号:
1672-4291(2015)02-0092-07doi:10.15983/j.cnki.jsnu.2015.02.423
基金项目:
高等学校博士学科点专项科研基金(20116101110014);陕西省第六次人口普查重大研究课题(010)
Doi:
The spatiotemporal characteristics and influencing factors of floating population in Shaanxi province
FANG Lei, LIU Kewei*, XU Ling, LI Jianwei
(College of Urban and Environment Science, Northwest University, Xi′an 710127, Shaanxi, China)
Abstract:
At the time scale of three census, the quantity change, spatiotemporal characteristics and influential factors of floating population in Shaanxi province were studied based on the date of floating population and socio-economic indicators by using three-dimensional simulation, global spatial autocorrelation analysis model and local spatial autocorrelation of ArcGIS. The results showed that the number of floating population in Shaanxi province is increasing and the proportion of floating population to the resident population is growing evidently. The spatial distribution of floating population is unbalanced, and its relative gravity center moved northward gradually. Floating population distribution appears autocorrelation gradually, and its spatial aggregation enhanced and formed three gathered zones, that is, high-high density in northern Shaanxi province, high-low density in Guanzhong and low-low density in southern Shaanxi province. The development of mineral resources, three industrial development and favorable living conditions of inflow place mainly affect spatiotemporal differentiation of floating population in Shaanxi province.
KeyWords:
Shaanxi province; floating population; spatial autocorrelation; spatiotemporal characteristics; influencing factors