ID 111557
著者
Okubo, Akane NIHON University
Suzuki, Daisuke Fujisan Area Management
Takeyasu, Kazuhiro Tokoha University
キーワード
Fuji city
area rebirth
regional vitalization
festival
Bayesian network
back propagation
資料タイプ
学術雑誌論文
抄録
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. There is a big difference between Fuji Shopping Street Town and Yoshiwara Shopping Street Town. Therefore we focus Fuji Shopping Street Town in this paper. These are analyzed by using Bayesian Network. The analysis utilizing Bayesian Network enabled us to visualize the causal relationship among items. Furthermore, sensitivity analysis brought us estimating and predicting the prospective visitors. Sensitivity analysis is performed by back propagation method. 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 future works to be investigated.
掲載誌名
Journal of Management and Strategy
ISSN
19233965
19233973
出版者
Sciedu Press
9
2
開始ページ
46
終了ページ
68
発行日
2018-05-07
権利情報
This is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license.
EDB ID
338518
出版社版DOI
出版社版URL
フルテキストファイル
言語
eng
著者版フラグ
出版社版
部局
創新教育センター