地理科学 ›› 2015, Vol. 35 ›› Issue (11): 1381-1387.doi: 10.13249/j.cnki.sgs.2015.011.1381

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基于镇域尺度的江苏省人口分布空间格局演变

车冰清1(), 仇方道1,2()   

  1. 1. 江苏师范大学区域与城市研究中心,江苏 徐州 220009
    2. 江苏师范大学城市与环境学院,江苏 徐州 221116
  • 收稿日期:2014-12-22 修回日期:2015-04-30 出版日期:2015-11-20 发布日期:2015-11-20
  • 作者简介:

    作者简介:车冰清(1981-),男,江苏沛县人,博士研究生,实验师,主要从事空间结构与区域发展研究。E-mail:chebingqing@jsnu.edu.cn

  • 基金资助:
    国家自然科学基金项目(41371146、41201160、41501122)资助

Spatio-temporal Changes of Population Distribution at Sub-district Level in Jiangsu Province

Bing-qing CHE1(), Fang-dao QIU1,2()   

  1. 1. Regional and Urban Research Center, Jiangsu Normal University, Xuzhou, Jiangsu 220009, China
    2. School of Urban and Environmental Sciences, Jiangsu Normal University, Xuzhou, Jiangsu 221116, China
  • Received:2014-12-22 Revised:2015-04-30 Online:2015-11-20 Published:2015-11-20

摘要:

基于2000年、2010年人口普查乡镇(街道)数据,运用探索性空间数据分析、半变异函数等方法,分析江苏省人口分布的时空分异特征,并揭示其空间演化机理。结果表明:江苏省人口分布呈现较大的空间差异,全省层面上呈现南北人口密度高于中部的“凹”字型结构,城乡层面上呈现街道人口密度高于乡镇的“城乡二元”结构,以及沿江地区明显的“核心边缘”结构;研究期内江苏省人口分布的空间不均衡性和集聚性呈增强之势,长江以北镇域的人口密度大多降低而以南普遍增加,苏锡常、南京、徐州三大都市圈的人口集聚能力进一步提升,沿江地区成为全省规模最大的高密度人口连绵区;空间关联作用是引起江苏省人口分布格局变化的空间机理,而政策、区位、经济与自然环境等因素是造成江苏人口格局变化的主要动力。

关键词: 人口分布, 镇域尺度, 江苏省

Abstract:

Since the reform and opening up, the large-scale migration in China has caused dramatic changes in population distribution, which has become a hot research field of human geography. Spatial pattern of population distribution has a typical character of scale dependency. Fine-scale estimation of the population distribution has been a huge challenge in the field of population geography. In China, sub-district is the finest administrative unit in official population census data. Thus, population density data at township level can be used to describe and characterize the population spatial pattern and changes elaborately, and support the optimized layout plan of Chinese population and government policy decision making. Sub-district boundaries across 13 cities in Jiangsu Province had been collected in this study. The national population census data were spatially joined to the boundary layer for population density calculation. Based on the fifth and sixth population censuses, using exploratory spatial data analysis, interpolation methods and semivariogram, the space differentiation and temporal variation of population density of all sub-districts in Jiangsu Province in 2000-2010 are explored, and further, the evolutionary mechanism of it is discussed. The results are reported as follows. In spatial distribution, the population density of Jiangsu Province was characterized by concave shaped structure, urban-rural dual structure, and core-periphery structure. Suzhou-Wuxi-Changzhou metropolitan area had the most widely dense population, and Nanjing City circle had the highest population density. In the evolution, the space differentiation of population density was becoming ever more obvious. Population density in the south of Jiangsu was generally increasing, but most towns’ population density was declining in the northern area. The variation of population density was presented spatial inequality. In evolutionary mechanism, spatial continuity and self-organization of population density have been intensified, and the spatial form of population density changed from decentralization in the initial stage to centralization. Additionally, the structural difference resulted from spatial association has become more and more obvious. The changes of population distribution were influenced mainly by policy and economic factors. First, regional strategies played a guiding role in the population distribution changes. Secondly, economic development reshaped the population distribution, and the population density had a significant positive correlation with economic density. Thirdly, location difference was the determinant. At last but not the least, physical geography difference had also affected the layout in a certain extent. This study expanded the research scale and dimension of the research in population geography research in China. The resulted population density dataset in 2000 and 2010 is expected to enrich the baseline data resources for population geography development in China.

Key words: population distribution, spatio-temporal pattern, evolution mechanism, sub-district level, Jiangsu Province

中图分类号: 

  • K901.3