社会经济发展研究

近年来上海市人口分布变动的空间特征分析

  • 俞路 ,
  • 张善余
展开
  • 1. 上海海事大学 经济管理学院,上海 200135
    2. 华东师范大学 人口研究所,上海 200062
俞路(1976—), 男,上海市人,上海海事大学经济管理学院讲师,博士|张善余(1942—), 男,江苏镇江人,华东师范大学人口研究所教授,博士生导师

收稿日期: 2006-05-31

  网络出版日期: 2006-09-30

An Analysis of Spatial Features of Population Distribution Alteration in Recent Shanghai

  • Lu YU ,
  • Shan-yu ZHANG
Expand
  • 1. College of Economics & Management, Shanghai Maritime University, Shanghai 200135, China
    2. Institute of Population Studies, East China Normal University, Shanghai 200062, China

Received date: 2006-05-31

  Online published: 2006-09-30

摘要

通过对2000—2003年上海市乡镇人口密度变化率的空间相关性分析, 发现上海市近几年人口分布空间变动格局表现为以中心城区为中心的环状分布模式, 中心城区和远郊区人口密度变化小、人口增长缓慢, 而近郊区人口密度变化大、人口增长迅速。全市人口密度变化率存在着显著的空间集聚现象, 4种类型的空间关联在空间分布上具有明显的规律性。研究结果表明, 目前上海市人口郊区化趋势明显, 高人口密度区域在不断向外扩张, 由此可以判断未来上海人口分布的区域变化方向。

本文引用格式

俞路 , 张善余 . 近年来上海市人口分布变动的空间特征分析[J]. 华东师范大学学报(哲学社会科学版), 2006 , 38(5) : 10 -14 . DOI: 10.16382/j.cnki.1000-5579.2006.05.002

Abstract

This paper makes an analysis of the situation of population distribution in Shanghai during the period from 2000 to 2003.While using the spatial autocorrelation method to analyze population density of villages and towns, it is found that the spatial population distribution of the city is characterized by an increasing ring of population surrounding the central zone of Shanghai.The research result also indicates that Shanghai's population suburbanization is developing very quickly and a lot of near suburbs will become highly-density regions.Population distribution has increasingly become related to economic, traffic and other social development factors.

参考文献

1 Anselin L., Spatial Data Analysis With. IS: An Introduction to Application in the Social Sciences, Santa Barbara, CA: National Center for Geographic Information and Analysis, 1992.
2 Cliff A. D. , Ord J. K. . 1973, Spatial Autocorrelation. London: Pi-on.
3 Cliff A. D. , Ord J. K. . 1981, Spatial Processes : Models and Applications. London: Pion.
4 Goodchild M. F. . 1986, Spatial Autocorrelation. Norwich: GeoBooks.
5 Zhang Z. Q. , Griffith D. A. . , 2000, "Integrating GIS Components and Spatial Statistical Analysis in DBMS", Geographical Information Science, Vol.14 No.6, paper 543- 566.
6 Zhang Z. Q. , Griffith D. A. . , 1997, "Developing User-friendly Spatial Statistical Analysis Modules for GIS: an Example Using Arcview", Compute, Environment and Urban Systems, Vol.21 No.1, paper 5- 29.
7 Liverman D. , Moran E. , Rindfuss R. . 1998, People and Pixels, Linking Remote Sensing and Social science. Washington. D. C.: National Academy Press.
8 北京市第五次人口普查办公室 2004, 世纪之交的中国人口(北京卷). 北京: 中国统计出版社.
9 David O'Sulliva , David Unwin . 2003, Geographic Information Analysis. New York: John Wiley & Sons.
10 Jay Lee , Wong David W. S. . 2001, Statistical Analysis with Arcview GIS. New York: John Wiley & Sons.
11 John Odland . 1988, Spatial Autocorrelation. Newbury park, CA: Sage.
12 Anselin L . , 1995, "Local Indicators of Spatial Association-LISA", Geographical Analysis, Vol.27 No.2, paper 93- 115.
13 Sang - Iilee Ma., Spatial Association Measures for an ESDA -GIS Framework : Developments, Significance Tests, and Applications to Spa-tio - Temporal Income Dynamics of U. S. Labor Market Areas, 1969 -1999, Ohio: Ohio State University, 2001.
14 许学强、 周一星、 宁越敏 1997, 城市地理学. 北京: 高等教育出版社.
Options
文章导航

/