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Bayesian Network Analysis for the Questionnaire Investigation on the Impression at Fuji City

Author

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  • Daisuke Suzuki
  • Akane Okubo
  • Tsuyosi Aburai
  • Kazuhiro Takeyasu

Abstract

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. In this paper, we mainly focus the impression the visitors feel and analyze them. 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. 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.

Suggested Citation

  • Daisuke Suzuki & Akane Okubo & Tsuyosi Aburai & Kazuhiro Takeyasu, 2018. "Bayesian Network Analysis for the Questionnaire Investigation on the Impression at Fuji City," International Journal of Business Administration, International Journal of Business Administration, Sciedu Press, vol. 9(6), pages 1-21, November.
    • Handle: RePEc:jfr:ijba11:v:9:y:2018:i:6:p:1-21
    DOI: 10.5430/ijba.v9n6p1
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