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  [in Japanese] Multi-Agent-based Household Transition Simulation Using Mesoscopic Model  [in Japanese]

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Author(s)

Abstract

<p>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.</p>

Journal

  • Transactions of the Japanese Society for Artificial Intelligence

    Transactions of the Japanese Society for Artificial Intelligence 32(5), AG16-A_1-10, 2017

    The Japanese Society for Artificial Intelligence

Codes

  • NII Article ID (NAID)
    130006039511
  • Text Lang
    JPN
  • ISSN
    1346-0714
  • Data Source
    J-STAGE 
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