2022 Fiscal Year Final Research Report
Measuring low-used and unused spaces aimed at introducing smarter city shrinkage
| Project/Area Number |
20K04727
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 22050:Civil engineering plan and transportation engineering-related
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| Research Institution | Setsunan University |
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Principal Investigator |
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| Project Period (FY) |
2020-04-01 – 2023-03-31
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| Keywords | 低・未利用空間 / 空間的自己相関分析 / 空き家 / 人口分布 |
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| Outline of Final Research Achievements |
In Japan, population decline is one of the important issues that need to be tackled in socioeconomic fields. Firstly, we examine the applicability of Random Forest to the vacant house estimation method for the improvement of estimation accuracy. The application of Random Forest seems to contribute to obtaining high and stable estimation accuracy. Secondly, we apply an analysis method composed of a spatial autocorrelation analysis to the local population data and the local household-size data generated through the 1995 and 2015 national census, and detect their spatial dynamics. We newly define an index regarding the size of an area where lower local mean sizes of households are distributed in urbanized areas, in addition to the spatial local-population index defined previously. It is shown that the local population dynamics are described by the combination of the variations of the 2 indices between 1995 and 2015.
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| Free Research Field |
地理空間情報を適用した都市解析
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| Academic Significance and Societal Importance of the Research Achievements |
本研究で開発・採用している空き家分布推定法では，地方行政の日常的な業務から生成されるデータのみを使用し，かつ，現地調査の省力化も図ることが可能であり，効率的な観測・状況把握を可能とするものである．局所人口分布の空間分析はまったく新しい発想に基づいた手法であり，世界に先んじて急速な人口減少，高齢化社会を迎える我が国から発信された先駆的，革新的な分析アプローチとなる．
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