ID 111557
Author
Okubo, Akane NIHON University
Suzuki, Daisuke Fujisan Area Management
Takeyasu, Kazuhiro Tokoha University
Keywords
Fuji city
area rebirth
regional vitalization
festival
Bayesian network
back propagation
Content Type
Journal Article
Description
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.
Journal Title
Journal of Management and Strategy
ISSN
19233965
19233973
Publisher
Sciedu Press
Volume
9
Issue
2
Start Page
46
End Page
68
Published Date
2018-05-07
Rights
This is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license.
EDB ID
DOI (Published Version)
URL ( Publisher's Version )
FullText File
language
eng
TextVersion
Publisher
departments
Center for Innovation Education