This study focused on roles of municipalities for deciding the zoning maps of wind energy for social consensus building in the case of Nagasaki Prefecture. Analyzing on the points of the basic policy of formulation, community benefits and environmental aspects. As a result, it was clarified that the roles made prefecture and basic municipality consultations possible to discuss about the basic policy of formulation with multi-layered discussion, environmental aspects in the both one and over a wide area and community benefits in the basic municipality with each level discussion.

The purpose of this study was to examine the effects of the built environment and social capital on health status over three years using dimensional compression and structural modeling of information on the living behavior of older people using machine learning. The study design included conducting a prospective cohort study using a probabilistic latent semantic structure model. As a result, we estimated that if the built environment and social capital were improved from the highest health risk conditions to the lowest health risk conditions, health risks such as the mortality would be suppressed to about 0.9 times compared to average health risks.