計画による災害住宅復興の強化: 資源配分のための遺伝子アルゴリズムのアプローチ
1Institute for Coastal Adaptation and Resilience, Old Dominion University, Norfolk, Virginia. ORCID: https://orcid.org/0000-0002-6888-5314.
Journal of emergency management (Weston, Mass.)
|September 5, 2025
まとめ
この研究では 遺伝子アルゴリズム (GA) を使用して 洪水に瀕するコミュニティの災害復興 (DHR) 資源配分を最適化しています GA主導の計画により 回復力とコミュニティの自律性が向上し 長期的な回復の成果が改善されます
科学分野:
- 環境科学と都市計画で,気候変動への適応と災害への回復力に焦点を当てています.
背景:
- 気候変動により 洪水が悪化し 脆弱な地域社会に 避難や財政的不安定がもたらされます
- 効果的な災害住宅復興 (DHR) は,特に資源が限られている地域では極めて重要です.
- DHRの資源配分を最適化することは 長期的なコミュニティの回復力にとって不可欠です
研究 の 目的:
- 遺伝子アルゴリズム (GA) を使用してDHRの計画と実行を改善するための革新的な戦略を提示する.
- 長期回復グループ (LTRG) と持続可能な回復を達成するためのコミュニティの関与に焦点を当てます.
- 複数の基準を考慮して,DHRのリソース割り当てを最適化するためのGAの有効性を評価する.
主な方法:
- DHRのリソース配分のためのGAモデルの開発と適用
- 最適化,LTRGの準備,コミュニティの自律性に関する仮説の評価.
- 費用対効果のバランスをとった資源配分の分析,住居のカバー,そして利害関係者のニーズ.
主要な成果:
- DHRにおける資源配分決定を大幅に改善します.
- このモデルは 複雑な資源配置の課題を 効率的に解決します
- 地域社会の自律性と長期回復グループ (LTRGs) の準備が強化されたことが観察されました.
結論:
- 遺伝子アルゴリズムは 複雑な災害時の住宅回復プロセスを最適化するための強力なツールです
- GAベースの戦略は,コミュニティの回復力を高め,効果的な長期的な回復を促進します.
- DHRの改善を目指す政策立案者や災害対応チームにとって 重要な洞察力を提供しています
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