Analyzing Young People's Awareness for Mutual Assistance Support System with Bayesian Network

We have shown the concept of information sharing system to support vulnerable road users living in some regions of Hiroshima city where public transport is not sufficiently developed and then we also have constructed a web service to support their daily life named MASS. To make our system effective for solving the issues of "vulnerable road users" mainly elderly people, active participation of young people is essential because most of the resources of skills will be provided by young people. The analysis of the previous work unveiled a trend of the youth consciousness about skill sharing in their local community but also showed the limitation of Quantification Method Type II. Therefore, in this paper, in order to discuss the continuity of our system as a business, we conducted an attitude survey on young people's awareness of resource sharing at their local community and analyzed it with Bayesian network. From the experimental result, we confirmed the findings of the previous research and further clarified the relationship between the factors which we could not clarify so far. In addition, we conducted numerical experiments using the constructed Bayesian network, obtained results that support several hypotheses, and revealed factors that have a strong influence on the use of MASS.