GEOGRAPHICAL RESEARCH ›› 2010, Vol. 29 ›› Issue (5): 820-829.doi: 10.11821/yj2010050006

• Urban and Rural Studies • Previous Articles     Next Articles

A spatial autocorrelation analysis of the residents' living distribution by groups in Beijing based on their social characteristics

YU Jian-hui1,2,3, ZHANG Wen-zhong1,2   

  1. 1. Key Laboratory of Regional Sustainable Development Modeling, CAS, Beijing 100101, China;
    2. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    3. Graduate University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2009-06-23 Revised:2010-03-24 Online:2010-05-20 Published:2010-05-20


On the background of continued expansion and population growth of Beijing, the distribution of people's spatial living is becoming more and more important and gets increased emphasis by researchers. Based on the large-scale survey in 2005, this study used the method of ecological factor analysis and spatial autocorrelation analysis to give the spatial living distribution of different groups of residents in eight districts and the suburbs of five representative regions including a total of 134 communities. Using the ways of Principal Component Analysis and Cluster Analysis, the thesis tries to identify all the residents' characteristics into two main integrated factors, which are the level of potential for the future and the level of existing standard of living. Then the paper divides all the residents into five groups with those factors, i.e., the groups of low-potential and poor-status persons (type I), high-potential and poor-status persons (type II), high-potential and medium-status persons (type III), medium-potential and medium-status persons (type IV) and high-potential and excellent-status persons (type V). By using spatial autocorrelation analysis, the paper reveals that the groups of types II, IV and V people have the most significant living aggregation from the view of global spatial autocorrelation. From the view of local spatial autocorrelation, the article finds that the groups of types I and II people obviously cluster to the eastern and northeastern parts of the city. The group of type I has the largest proportion in the communities of Heizhuanghu, Tongzhou and Dougezhuang. The group of type II is concentrated in a fan-shaped region with Dongzhimen Street as the center. Most people of type IV live in the inner city. The groups of types V and III people are scattered, and settled mostly in Tiantongyuan and Sijiqing.

Key words: residents&rsquo, group, spatial autocorrelation, Beijing, social characteristics