社会地区分析再考

DOI Web Site 被引用文献2件 参考文献4件

書誌事項

タイトル別名
  • Social Area Analysis Reconsidered
  • シャカイ チク ブンセキ サイコウ KSホウ クラスター ブンセキ ニ ヨル 2ダイトシケン ノ コウゾウ ヒカク
  • Structural comparison between the Tokyo and Keihanshin metropolitan areas by adopting the KS method cluster analysis
  • KS法クラスター分析による2大都市圏の構造比較

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抄録

Social area analysis has been developing as a method of factorial ecology. Factor analysis interprets factor structure using a few factors that possess big factor loading. Moreover, factor analysis ignores some factors with small factor loading. Therefore, it is pointed out that factor analysis may present a rough interpretation of the factor structure. In order to avoid this problem, the cluster analysis method is adopted. In statistical analysis software such as SPSS, hierarchical cluster analysis and K-means methods are generally adopted. Because neither method has the algorithms that extract the most suitable solution, analysts have to decide which solution is most suitable. Thus, it is said that using the cluster analysis method is very difficult.<br>The KS method cluster analysis can avoid these problems. Using the KS method, a structural comparison was drawn between the Tokyo and Keihanshin metropolitan areas. Data sets of the population census, which was carried out in 2000, were used. Further, the data sets of establishment and enterprise census, which was carried out in 2001, were also utilized. Both data sets were obtained free of cost. The units of analyses were cities, wards, towns, and villages, which were within a radius of 70km from Chiyoda-ku, Tokyo, and Chuo-ku, Osaka-shi, and the total number of units was 471. With regard to the Tokyo metropolitan area, social areas that were similar to the ones found by priority studies were discovered. With regard to the Keihanshin metropolitan area, a multiple core structure was discovered. It is believed that the KS method cluster analysis has the possibility to become one of the standard methods for social area analysis.

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