地理科学进展

地理科学进展 ›› 2010, Vol. 29 ›› Issue (1): 96-102.doi: 10.11820/dlkxjz.2010.01.013

• 产业发展与区域经济 • 上一篇    下一篇

辽中南城市群人口分布的时空演变特征

苏飞1, 2|张平宇1   

  1. 1. 中国科学院东北地理与农业生态研究所|长春 130012；2.中国科学院研究生院|北京 100049
  • 出版日期:2010-01-25 发布日期:2010-01-25
  • 作者简介:苏飞（1982－）|男|安徽颍上人|博士研究生|主要从事环境与发展|城市与区域发展研究
  • 基金资助:

    国家自然科学基金重点项目(40635030)；中国科学院知识创新工程重要方向项目(KZCX2-YW-342、KZCX2-YW-321-04)；中国科学院东北地理与农业生态研究所前沿领域项目(KZCX3-SW-NA3-04)

Spatio-temporal Dynamics of Population Distribution in the Middle and Southern Liaoning Urban Agglomeration

SU Fei1,2, ZHANG Pingyu1   

  1. 1. Northeast Institute of Geography and Agroecology, CAS, Changchun 130012, China|
    2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China
  • Online:2010-01-25 Published:2010-01-25

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83 | 8

摘要：

采用人口分布的结构指数和空间自相关分析方法，并结合GIS技术对20世纪90年代以来辽中南城市群人口分布的时空演变特征进行分析。研究结果表明：① 2007年，辽中南城市群的人口分布具有各地市人口总量差异较大、人口密度呈西高东低态势、市县人口密度差异显著、人口沿交通轴线集中分布、人口分布的局部空间集聚现象十分显著等现状特征；② 20世纪90年代以来，城市群的人口分布变化具有各地市人口增幅差异明显、人口分布具有不断集中趋势、人口重心逐渐由东北向西南方向移动，人口分布趋同趋势不断增强等演变特征。研究结果表明空间自相关的统计分析方法能够更好地揭示出人口的分布特征、人口集聚及其变化的热点，对于人口的合理布局方案等政府决策具有重要的参考价值。

关键词: 人口分布；时空演变；空间自相关；辽中南城市群

Abstract:

The study of regional population evolution is helpful to reveal the rule of population distribution and is important for reasonably making population development policy, and for the promotion of regional sustainable development. By using population structure indexes, spatial auto-correlation analysis and GIS technology, the spatio-temporal dynamics of population distribution in the middle and southern Liaoning urban agglomeration have been analyzed since the 1990s. The results show that: (1) the population quantity of different cities in the middle and southern Liaoning urban agglomeration is quite different, with the density being higher in the west, and the distribution concentrated along traffic axes, and the population distribution of different cities presents distinct positive correlation in 2007. (2) Since the 1990s, there are many differences among the population amplitudes in different cities. The population distribution is of concentration pattern, and the population centralization is enhanced. From 1993 to 2007, the center of gravity moves from northeast to southwest. This paper shows that statistic analysis of spatial auto-correlation should be a good method to explore the hotspots and inner mechanism of distribution, centralization and change of population．

Key words: middle and southern Liaoning urban agglomeration, population distribution, spatial auto-correlation, spatio-temporal dynamics