リスクレジリエンスフィードバックは,社会的重要な機能の確保に役立ちます
Samrat Chatterjee1,2, Auroop Ganguly1,2, Dennis Thomas3
1Data Sciences and Machine Intelligence Group, Pacific Northwest National Laboratory, Richland, Washington, USA.
Risk analysis : an official publication of the Society for Risk Analysis
|February 20, 2026
まとめ
リスクとレジリエンスとの相互作用を理解することは,極端な出来事が増加しているため,非常に重要です. この研究では,リスクレジリエンスフィードバックパラダイムを再検討し,よりよい災害政策のために,レジリエンスとリスク管理を結びつけています.
科学分野:
- 災害科学 災害科学 災害科学
- システムエンジニアリング システムエンジニアリング
- 政策分析 政策分析
背景:
- 極端な出来事が増加し,相互に繋がっている社会機能に影響を与えている.
- 既存のフレームワークは,機能障害のリスクと関連付けているが,リスク管理に対する障害/回復フィードバックを無視している.
研究 の 目的:
- 接続された社会的機能に対するリスクレジリエンスフィードバックパラダイムを再検討する.
- リスクマネジメントとレジリエンスを結びつけることで,科学に基づいた災害政策を推進する.
主な方法:
- 概念的枠組み分析. 概念的枠組み分析.
- 脅威,脆弱性,および結果 (リスク) に対する強度と回復 (レジリエンス) を結びつけることに焦点を当てる.
- ネットワーク化されたサプライチェーンシステムの例です.
主要な成果:
- レジリエンス要素 (強度,回復) は,リスク要素 (脅威,脆弱性,結果) に情報を与えることができます.
- リスクレジリエンスフィードバックループは,複雑なシステムの管理に不可欠です.
結論:
- 効果的なリスク管理には,故障と回復のフィードバックを体系的に検討することが必要です.
- リスクレジリエンス概念を,カスケーディングリスクに直面する相互接続した自然に構築された人間システムに拡張することは,オープンな課題です.
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