| Project/Area Number |
15K14092
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Town planning/Architectural planning
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| Research Institution | Ritsumeikan University |
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Principal Investigator |
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| Research Collaborator |
YAMADA Satoshi 立命館大学, 理工学部, 任期制講師 (00551524)
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
Fiscal Year 2016: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2015: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | 緑環境 / 緑視率 / 感性評価 / ベイジアンネットワーク / 確率モデル / 自己組織化マップ / 印象評価推定 / 全方位 |
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| Outline of Final Research Achievements |
The purpose of this paper is to provide the method for landscape guidelines for green environment based on physiology. We provided the method for the construction of the probabilistic model of the evaluation for the amount of green. We applied Bayesian networks to construct graphical models that represented the correlation between the ratio of the evaluation for the amount of green and the visible green of a close-to-mid-range view, a distant view, and other elements which green environment was composed.
By using Self-Organizing Maps (SOM), we created a map reflecting the characteristics of the green environment with the impression by sensibility evaluation. In this case the characteristics and the sensibility evaluation data of green environment were easily understood by visual analysis. Thus, we provided the method for the method for landscape guidelines for green environment in Kyoto City.
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