ID 111673
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. 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 and Yoshiwara Shopping Street. Therefore we focus Yoshiwara Shopping Street in this paper. These are analyzed by using Bayesian Network. Sensitivity analysis is also conducted. As there are so many items, we focus on “The image of the surrounding area at this shopping street” and pick up former half and make sensitivity analysis in this paper. 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
Archives of Business Research
ISSN
20547404
Publisher
Society for Science and Education, United Kingdom
Volume
6
Issue
5
Start Page
1
End Page
25
Published Date
2018-05-25
Rights
This work is licensed under a Creative Commons Attribution 4.0 International License.
EDB ID
DOI (Published Version)
URL ( Publisher's Version )
FullText File
language
eng
TextVersion
Publisher
departments
Center for Innovation Education