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Evaluation of the Effects on Reconstructing rural communities using Artificial Society Model

Evaluation of the Effects on Reconstructing rural communities using Artificial Society Model
人工社会模型重建农村社区效果评价
批准号:
18560512
负责人:
TAMURA Tohru
金额:
$2.43万
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (C)
财政年份:
2006
资助国家:
日本
项目状态:
已结题
起止时间:
2006 至 2007

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中文摘要
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英文摘要
In this study, a way of reconstructing rural communities is considered by evaluating the richness of Social Capital (SC). Additionally, as a "mutual assistance" community arises from SC, which represents interaction and cooperation among residents, the way in which the formation of such a community supports residents' regional activities is discussed and village community reconstruction methods are suggested.Nakagawa Town in Hokkaido was chosen as a sample case and the conditions in the community were reviewed using simulations. The SC of Nakagawa Town was calculated and the town's present and previous conditions were compared using Multi Agent Simulation (MAS) to find what changes the town has faced.In this study, the following were indicated.(1) Models to represent the effects of the local community on the disintegration of villages focusing on the roles of mutual cooperation and companionship among residents.(2) It was found that the existence of a community leader is effective for a community where its members learn from each other and develop their activities.For future study, it is necessary to modify the rules of the agent's behavior and develop the models to exhibit a possibility for village conservation by adopting factors coming from outside the local community including "income" and "medical and welfare." Regarding the "income" issue, further discussion is expected on the "entrepreneurial agricultural city" system in which local communities study the know-how required for starting business.
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DOI: --
发表时间: 2007
期刊: 土木計画学研究・論文集 Vol.24, No.3
影响因子: --
作者: [有村幹治, 長谷川裕修, 藤井勝, 田村亨]
通讯作者: 田村亨
Genetic Algorithms in the Infrastructure Planning -Optimization and Adaptive Learning-
基础设施规划中的遗传算法-优化和自适应学习-
DOI: --
发表时间: 2007
期刊: Journal of JSCE on Transportation Planning V61.24, No.3
影响因子: --
作者: [M. Arimura, T. Tamura, N. Ida]
通讯作者: N. Ida
DOI: --
发表时间: 2007
期刊:
影响因子: --
作者: [M. Fujii, H. Hasegawa, M. Arimura, T. Tamura]
通讯作者: T. Tamura
Forming Wide Community Areas through Improved Service at Existing Transportation Infrastructure
通过改善现有交通基础设施的服务形成广泛的社区区域
DOI: --
发表时间: 2007
期刊: International Association of Traffic and Safety Sciences, Review Vo1.32, No.3
影响因子: --
作者: [T. Tamura, M. Fujii]
通讯作者: M. Fujii
8
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      20560484
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    • 资助金额:
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    • 财政年份:
      2008
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    • 资助金额:
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    • 财政年份:
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    • 负责人:
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    • 项目类别:
      Grant-in-Aid for General Scientific Research (C)
    • 资助金额:
      $1.54万
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    • 负责人:
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