2020 Fiscal Year Final Research Report
A study on multi-criteria social decision making method for sustainable water resource management in drylands
| Project/Area Number |
17K12855
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Environmental policy and social systems
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| Research Institution | Tokyo City University (2020)
The University of Tokyo (2017-2019) |
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Principal Investigator |
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| Project Period (FY) |
2017-04-01 – 2021-03-31
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| Keywords | 持続可能性 / 乾燥地 / 水資源管理 / 社会的意思決定 / 多基準意志決定法 / マルチエージェントモデル |
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| Outline of Final Research Achievements |
Achieving sustainable water resources management requires a better framework for evaluation and decision-making of water resources management policies. The multi-criteria decision-making (MCDM) method is attracting attention as its candidate; however, there is a limitation that it cannot be applied without conducting a questionnaire survey.
This present study examined whether a multi-agent model could overcome the limitation of MCDM. Model validation revealed that this model can close the water balance with high accuracy and can perform complicated impact assessment including socioeconomic impact. Therefore, we concluded that the multi-agent model can overcome the limitation of MCDM.
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| Free Research Field |
統合学
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| Academic Significance and Societal Importance of the Research Achievements |
本研究で開発したマルチエージェントシミュレーションモデルのユニークな点は，以下の2つである．第一は，従来異なる学問分野でばらばらに用いられてきた種々の数値モデルを統合したことである．具体的には，水循環モデルや植物動態モデルと社会経済モデルやマルチエージェントモデルを統合したことである．第二は，マルチエージェントモデルは多基準意思決定法の限界を超えられることを実証した点である．以上から，水資源管理政策の評価や意思決定のための新たな枠組みを提示できたと考えられる．
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