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Cluster Analysis for the Questionnaire Investigation on the Needs at Yoshiwara Shopping Street in Fuji City

机译:富士市吉原购物街需求调查问卷的聚类分析

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Shopping streets at local city in Japan became old and aregenerally declining. In this paper, we handle the area rebirth and/or regionalrevitalization of shopping street. We focus on Fuji city in Japan. Four bigfestivals are held at Fuji city (two for Fuji Shopping Street Town and two forYoshiwara Shopping Street Town). Many people visit these festivals includingresidents in that area. Therefore a questionnaire investigation to theresidents and visitors is conducted during these periods in order to clarifyresidents and visitors’ needs for the shopping street, and utilize them to theplan building of the area rebirth and/or regional revitalization of shoppingstreet. There is a big difference between Fuji Shopping Street Town andYoshiwara Shopping Street Town. Therefore we focus Yoshiwara Shopping Street inthis paper. These are analyzed by using Cluster Analysis and MultipleRegression Analysis. These are utilized for constructing a much more effectiveand useful plan building. We have obtained fruitful results. To confirm thefindings by utilizing the new consecutive visiting records would be the futureworks to be investigated.
机译:日本当地城市的购物街变老了,并且普遍在下降。在本文中,我们处理购物街的区域更新和/或区域复兴。我们专注于日本的富士市。在富士市举行了四个大型节日(两个富士购物街镇和两个吉原商业街镇)。许多人参观了这些节日,包括该地区的居民。因此,在此期间,对居民和访客进行了问卷调查,以弄清居民和访客对购物街的需求,并将其用于规划区域重建和/或购物街的区域复兴。富士购物街镇和吉原购物街镇之间有很大的不同。因此,本文重点关注吉原购物街。使用聚类分析和多元回归分析来分析这些。这些用于构建更加有效和有用的计划构建。我们取得了丰硕的成果。通过利用新的连续访问记录来确认调查结果将是未来的工作。

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