Evaluation of Urban Development Policy for Local City with Artificial Society Model
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- AKIYAMA Takamasa
- Kansai University
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- OKUSHIMA Masashi
- The University of Tokushima
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- INOKUCHI Hiroaki
- Kansai University
Bibliographic Information
- Other Title
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- 人工社会モデルによる地方都市まちづくり政策に関する考察
- ジンコウ シャカイ モデル ニ ヨル チホウ トシ マチズクリ セイサク ニ カンスル コウサツ
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Description
It should be an issue that the central area in local city declines commercially because of the extension of city area. Therefore, the urban development policy is proposed to activate the central area of the city. The urban development policy is not often discussed on the basis of numerical value of evaluation in the real world. The ordinary aggregate model cannot describe propalg the complex interaction between urban activities. The complex system modeling approach is introduced in the study. The artificial society model is created with citizen agents and commercial retailers. In particular, the decision of citizen agents for shopping and leisure activity place and travel mode can be formulated by fuzzy reasoning. On the other hand, the commercial attraction degree can be influenced by the commercial sales and number of visitors. The decrease of activities in the central area without urban development policy can be observed in the artificial society. On the contrary, the developments for several different activities in the central area can be found with introduction of fundamental urban development policies. Furthermore, it is realized that the comprehensive urban development policy with combination of policies should be superior to the single policy introduction. Finally, it is concluded that self-organized development process of local city can be realized from the accumulated activities of individual urban citizens with referring to the observation in the artificial society model to evaluate urban development policy.
Journal
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- Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
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Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 23 (4), 428-437, 2011
Japan Society for Fuzzy Theory and Intelligent Informatics
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Details 詳細情報について
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- CRID
- 1390001205185238528
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- NII Article ID
- 10029335862
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- NII Book ID
- AA1181479X
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- ISSN
- 18817203
- 13477986
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- NDL BIB ID
- 11219987
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL Search
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed