2017 Fiscal Year Final Research Report
Monitoring of urban structure on the basis of high granularity data set
| Project/Area Number |
16K14324
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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 |
Civil engineering project/Traffic engineering
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| Research Institution | Setsunan University |
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Principal Investigator |
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| Research Collaborator |
UEMATSU Hitoshi
MATSUDA Yuka
ONO Yuki
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| Project Period (FY) |
2016-04-01 – 2018-03-31
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| Keywords | 都市構造 / 階層ベイズモデル / 順序ロジットモデル / 水道栓情報 / 築年数 |
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| Outline of Final Research Achievements |
Monitoring of urban structure is required against the declining birth rate and population aging. The distributions of housing vacancy are expected to be one of the indicators of monitoring urban structure. However, there are many discussions on the time and labor problems in the field survey and the method of identifying vacant houses. In this study, the field survey of vacant houses was conducted. We also applied to the hierarchical Bayesian ordered logit model by using the field survey results, the water hydrant data, the fixed assets data and the building data. The accuracy of the detection of vacant houses was discussed.
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| Free Research Field |
土木計画，空間情報学
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