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上海市人户分离状况的空间特征分析——基于“六普”数据
引用本文:朱晓林,高向东,黄祖宏. 上海市人户分离状况的空间特征分析——基于“六普”数据[J]. 南方人口, 2012, 27(2): 51-58
作者姓名:朱晓林  高向东  黄祖宏
作者单位:华东师范大学中国现代城市研究中心/人口研究所,上海,200241
基金项目:教育部哲学社会科学研究重大课题攻关项目
摘    要:"六普"数据显示,近几年上海市人户分离状况呈现出新的空间特征,主要表现在:人户分离人口的规模和迁移率在空间分布上呈现出严重的不均衡;大部分区县人户分离人口的来源地及迁居目的地集中化程度高,具有"近邻优先"的特点;逐步形成由中心城区县流向近郊区区县和中心城区县之间相互流动的两大迁移圈;中心城核心区、边缘区、近郊区、远郊区等四大区域之间的人户分离人口流动呈现出三大迁居主流。本文在总结这些空间特征的同时,就如何解决上海市人户分离问题提出了几点建议,以期上海市内户籍人口的迁移能科学健康有序进行。

关 键 词:上海市  人户分离人口  空间分布  迁移圈

Analysis on the Spatial Characteristics of the Population Living Separately from the Their Household Registration Areas in Shanghai-Based on the 6th National Population Census Data
ZHU Xiao-lin , GAO Xiang-dong , HUANG Zu-hong. Analysis on the Spatial Characteristics of the Population Living Separately from the Their Household Registration Areas in Shanghai-Based on the 6th National Population Census Data[J]. South China Population, 2012, 27(2): 51-58
Authors:ZHU Xiao-lin    GAO Xiang-dong    HUANG Zu-hong
Affiliation:Population Research Institute,East China Normal University,Shanghai 200241
Abstract:The data of the 6th national population census shows that the population’s spatial separation of living areas from their household registration areas in Shanghai emerges some new spatial characteristics,mainly including: the scale and migration rate of population with separation of living areas from household registration areas are seriously unbalanced;for most districts,the centralized indexes of separated population’s are both high in the emigration areas and immigration areas,and they tend to choose the adjacent districts as their migration destinations;two migration cycles are gradually formed,one is the migration from central areas to the near suburb areas and another is the migrations among the central areas;the migrations make up three mainstreams among central area,fringe areas,near suburb area and distant suburb area.Some suggestions are put forward for the more rational,scientific and orderly migration in Shanghai.
Keywords:Shanghai  Separation of living areas from their household  Spatial distribution  Migration cycles
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