摘要
为了解天津市流动人口的演变特征和空间格局,根据2004年—2014年全国流动人口统计资料,利用Arc GIS软件的自然断裂点分类法,基于流动人口密度区位熵,将天津市划分成高、中、低共3种密度类型区.结果表明:天津市流动人口跨省流入特征明显,务工动因占比大,性别比接近112.93,平均受教育年限为9.2年;流动人口密度类型区分为高、中、低3种,依次包含4、8和4个辖区,全市密度特征呈现北部稀疏、南部密集的空间格局,辖区间差异显著,整体有南部向心聚集、北部和中部离心扩散的流动趋势.
In order to learn the evolution characteristics and spatial patterns of floating population in Tianjin,the urban are as of Tianjin were divided into three floating population types based on the statistics of national floating population from2004 to 2014 and according to the location entropy of floating population density and natural broken classification built-in GIS. The results show that there is an outstanding feature of trans-provincial inflow and migrant workers of the floating popu-lation in Tianjin,the flow of people who come from rural agricultural households is obvious and the gender ratio is close to112.93. The average years of schooling is 9.2 years,and three-quarters for junior middle school and below of the floating population. The floating population density is divided into three floating population types such as high,medium and low.The number of districts are 4,8,4. Centre for floating population most closely concentrated area,and there is centrifugal diffusion trend. The density in whole city presents the spatial pattern characteristics of northern sparse and southern dense.There is a significant difference among different districts that is the trend of centripetal aggregation in southern and centrifu-gal diffusion in northern and central.
作者
刘竞
袁绪英
LIU Jing;YUAN Xuying(Hubei Key Laboratory for Geographical Process Analysis and Simulation,Central China Normal University,Wuhan 430079,China;College of Urban and Environmental Science,Central China Normal University,Wuhan 430079,China;The Geography Experimental Teaching center,Central China Normal University,Wuhan 430079,China)
出处
《天津师范大学学报(自然科学版)》
CAS
北大核心
2018年第4期68-72,共5页
Journal of Tianjin Normal University:Natural Science Edition
基金
国家自然科学基金资助项目(31670104)
关键词
流动人口
密度区位熵
空间格局
天津市
floating population
density location entropy
spatial patterns
Tianjin city