人工知能学会論文誌
Online ISSN : 1346-8030
Print ISSN : 1346-0714
ISSN-L : 1346-0714
特集論文「エージェント技術とその応用2017」
メゾスコピックモデルを用いたマルチエージェント世帯推移シミュレーション
山際 康平藤井 秀樹吉村 忍
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ジャーナル フリー

2017 年 32 巻 5 号 p. AG16-A_1-10

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Cities are regarded to complex systems that are explained by various components and their interactions. Today, the more complex the components and interactions become, the harder to solve urban problems become. Due to their complexity, it is very hard to forecast the effect of urban policies and make effective ones as well. Sometimes policies are less effective than expected and do not lead to solving urban problems. If the natural and social dynamics by simulation models can be described well, we can assess and verify urban policies to solve various urban problems. Although there have already been such researches using macroscopic or microscopic models, in the former models the interactions between city components are not considered enough and in the latter models there are problems in showing their validity and data availability. Therefore, some researchers aim to integrate two or more models, each of which describe just one urban phenomena. Given that integrated models are consist of various simple component models, they are useful and suitable to evaluate urban policies. Now we think that households are quite important among such city components as decision makers. Our goal is to develop an integrated urban model including a land-use model, a finance model, a household model and so on. In this research, we propose a multi-agent-based household transition model as a basis of such integrated model. Our approach is to use a mesoscopic model that makes us to consider individuals and households. We validate our model through two simulations about Kanazawa and Yokohama, using their real statistic data.

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© 人工知能学会 2017
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