2021 Fiscal Year Final Research Report
Evaluation method of road network vulnerability for disaster by topological approach
| Project/Area Number |
20K22429
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| Research Category |
Grant-in-Aid for Research Activity Start-up
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| Allocation Type | Multi-year Fund |
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| Review Section |
0303:Civil engineering, social systems engineering, safety engineering, disaster prevention engineering, and related fields
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| Research Institution | Kumamoto University |
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Principal Investigator |
Ando Hiroe 熊本大学, くまもと水循環・減災研究教育センター, 助教 (00880056)
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| Project Period (FY) |
2020-09-11 – 2022-03-31
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| Keywords | 道路ネットワーク / 脆弱性 / 頑健性 / 媒介中心性 / 最大固有値 |
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| Outline of Final Research Achievements |
The objective of this research is to construct road networks that do not cause serious degradation on a disaster. The topological characteristics that may contribute to vulnerability are analysed. Comparison and Organisation based on spatial and planar connectivity indices for regular and road netowrks revealed effective indices for networks with road-specific characteristics.
Focusing on the largest eigenvalues as a road network connectivity indicator, link enhancement plans for improving connectivity was proposed by maximising the largest eigenvalue. The impact of partial fialures was analysed by vulnerability evaluation considering connectivity, the results showed that the impact of failures based on the betweenness centrality is the largest in the road networks.
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| Free Research Field |
交通ネットワーク
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| Academic Significance and Societal Importance of the Research Achievements |
ネットワークの形状的特徴を表現可能なNetwork Science指標は計算が非常に簡便であり，ネットワーク規模や詳細度の制限も持たないため，あらゆる対象地域に適用可能であること，多くの既存指標が研究されているなどの利点を持つ．しかし，道路ネットワークは交差点に接続する道路の本数が限られることや地理的特徴などの空間的制約が存在する特殊なネットワークであり，これら特有の性質を考慮する必要がある．そのため，一般的な道路ネットワーク位相生成モデルを活用し，格子，ツリー，車輪といった規則的なネットワークと比較したうえで脆弱性に影響を及ぼす因子を明らかにしたことは意義があるといえる．
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