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  • 标题:Cluster Analysis for the Questionnaire Investigation on the Needs at Fuji City
  • 本地全文:下载
  • 作者:Yuki Higuchi ; Akane Okubo ; Daisuke Suzuki
  • 期刊名称:International Journal of Business Administration
  • 印刷版ISSN:1923-4007
  • 电子版ISSN:1923-4015
  • 出版年度:2018
  • 卷号:9
  • 期号:3
  • 页码:39
  • DOI:10.5430/ijba.v9n3p39
  • 出版社:Sciedu Press
  • 摘要:Shopping streets at local city in Japan became old and are generally declining. In this paper, we handle the area rebirth and/or regional revitalization of shopping street. We focus on Fuji city in Japan. Four big festivals are held at Fuji city (two for Fuji Shopping Street Town and two for Yoshiwara Shopping Street Town). Many people visit these festivals including residents in that area. Therefore a questionnaire investigation to the residents and visitors is conducted during these periods in order to clarify residents and visitors’ needs for the shopping street, and utilize them to the plan building of the area rebirth and/or regional revitalization of shopping street. These are analyzed by using Cluster Analysis and Multiple Regression Analysis. These are utilized for constructing a much more effective and useful plan building. We have obtained fruitful results. To confirm the findings by utilizing the new consecutive visiting records would be the works to be investigated.
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