Modeling of Factors influencing on the well-being and regional potential of Hinohara-mura using Bayesian network

Abstract

The depopulated municipalities considerably occupy 60% of the country in 51% of 1,718 whole country and play an important role in a people's life. Local forest rates of Hinohara-mura is 93%, Hinohara-mura has the tourist resources including famous waterfalls and the forest of Tokyo residents an old folk house, the toy museum etc., and pushed forward the sustainable community improvement that assumed a forest resources. In this study, we show the results that modeled factors affecting the well-being, the recommended intention, and regional potential of Hinohara-mura by analyzing questionnaire data getting answers from various stakeholders concerned with Hinohara-mura by Bayesian network.