Attitude Survey of Youth for Mutual Aid Support System for Local Community Using Bayesian Network
Abstract
Some Hiroshima citizens live in suburban residential estates at the slope of mountains surrounding the city, but the living environment is unsuitable for “vulnerable road users” mainly elderly people. To improve their living environments, we have shown the concept of information sharing system to support them living in regions where public transport is not sufficiently developed. In addition, we have constructed a web service to support their daily life named MASS. Our system’s role is to facilitate the encounter between local community people, provide the opportunity of resource sharing, generate some kinds of transport means, and solve the difficulties in daily life by mutual aid. Young people’s active participation is essential to make our system more effective for vulnerable road users because most of the 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 and found the limitation of Quantification Method Type II. Therefore, in this paper, to discuss our system’s continuity as a business, we conducted an attitude survey on young people’s awareness of resource sharing in their local community and analyzed it with Bayesian network. From the experimental result, we re-confirmed the findings of the previous research and further clarified the relationship between the factors that 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.
References
Banai-Kashanai, A.R., Toward a Synthetic Measure of Good Settlement Form” Environment and Planning B, 15, pp.399-412 (1988).
N. Ohigashi and S. Matsumoto, Research on the Possibility of Riding-together Trafficin Residential Estates, Bulletin of Hiroshima Institute of Technology, Research, Vol.49, pp.19-22 (2015), In Japanese.
S. Matsumoto and N. Ohigashi, Examining an Effective Way to Support Vulnerable Road Users in Itsukaichi District, Hiroshima City, Information Engineering Express, Special issue on Business Management of Technology, Vol.2, No.3, pp.43-52 (2016).
D. Demailly, A. Novel, The sharing economy: make it sustainable. Studies, (03/14), 30 (2014).
J. Hamari, M. Sjoklint, A. Ukkonen, The sharing economy: Why people participate in collaborative consumption. Journal of the Association for Information Science and Technology, (2015).
S. Matsumoto, N. Ohigashi, T. Hasuike, Developing a Transportation Support System for Vulnerable Road Users in Local Community, Proc. of 2016 5th IIAI International Congress on Advanced Applied Informatics, pp.797-800 (2016).
S. Matsumoto, N. Ohigashi and T. Hasuike, Design and Development of a Web Service to Support Daily Life of Vulnerable Road Users in Suburban Residential Estates in Hiroshima City, Proc. of 2017 6th IIAI International Congress on Advanced Applied Informatics, In USB (2017).
S. Matsumoto, N. Ohigashi, T. Hasuike, Livelihood Assistance System for Vulnerable Road Users in Suburban Residential Areas based on Mutual Assistance, International Journal of Service and Knowledge Management, ISSN: 2189-9231, Vol 1, No 2, pp.13-31 (2017).
S. Matsumoto, N. Ohigashi, Attitude Survey of Young People to Examine the Usefulness of a Skill Sharing Web Service for Regional Vulnerable Road Users, Proceeding of 7th International Congress on Advanced Applied Informatics, pp.724-729 (2018).
T. Dillahunt, A. Malone, The promise of the sharing economy among disadvantaged communities. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, pp.2285-2294. ACM (2015).
D. Rauch, D. Schleicher, Like uber, but for local government law: The future of local regulation of the sharing economy. Ohio St. LJ, 76, 901 (2015).
D. Wosskow, Unlocking the sharing economy: An independent review (2014).
S. Denning, An economy of access is opening for business: five strategies for success. Strategy & Leadership, 42(4), pp.14-21 (2014).
J. Pearl, Bayesian Networks: a Model of Self-Activated Memory for Evidential Reasoning, Proc of Cognitive Science Society, pp.329-334 (1985).
F. Jensen, An Introduction to Bayesian networks, University College London Press (1996).
E. Castillo, J. Gutierrez, and A.Hadi, Expert systems and probabilistic network models, Springer-Verlag (1997).
R. Cowell, A. Dawid, S. Lauritzen, and D. Spiegelhalter, Probabilistic Networks and Expert Systems, Springer-Verlag (1999).
Y. Motomura, Bayesian Network Softwares, Journal of the Japanese Society for Artificial Intelligence, Vol.17, No.5, pp.559-565 (2002).
S. Matsumoto, N. Ohigashi, Analyzing Young People’s Awareness for Mutual Assistance Support System with Bayesian Network, Proc. of 2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI), pp.762-767 (2019).
S. Russell, P. Norvig :“ Artificial Intelligence A Modern Approach ”, Prentice Hall Series in Artificial Intelligence (1995)
R. E. Neapolitan ： ”Learning Bayesian Networks ”, Artificial Intelligence, Prentice Hall (2004)
