紅海危機下におけるアジア～欧州コンテナ海運の連鎖リスクとレジリエンス最適化：時変重み付きネットワークアプローチ
Cascading risks and resilience optimization of Asia–Europe container shipping under the Red Sea crisis: a time-varying weighted network approach (原題)
Yu-Lin Dai, Yuan-Rui Li, Hui-Jun Zhou
🤖 gxceed AI 要約
日本語
紅海・スエズ混乱時のアジア～欧州コンテナ海運について、負荷容量制約や距離抵抗を組み込んだ時変重み付きネットワークモデルを構築。完全封鎖時でも最大連結成分は維持されるがサービス水準は0.827に低下。75%損失下では統合最適化が最高のQを示す一方、ケープ迂回は一般化コストが低い。等予算の容量配分では港湾拡張がQを改善せず、船隊更新が主要ボトルネックと判明。
English
A time-varying weighted network model with load–capacity constraints and cascading degradation is built for Asia–Europe container shipping under Red Sea–Suez disruption. Under full corridor loss, service level Q falls to 0.827 while the largest connected component persists. At 75% loss, joint optimization maximizes Q but Cape rerouting has lower generalized cost; equal-budget capacity expansion does not improve Q, as fleet turnover—not port capacity—is the binding bottleneck.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本企業のサプライチェーンはアジア～欧州航路に強く依存し、紅海危機は調達・物流コストに直結する。SSBJのガバナンス・リスク管理開示やTCFDのシナリオ分析において、地政学・物流途絶リスクを定量評価する枠組みとして参考になる。
In the global GX context
While not a climate-disclosure paper, it offers a mechanism-based scenario platform for physical and geopolitical supply-chain risk that can inform TCFD/ISSB scenario analysis and CSRD value-chain resilience reporting for globally exposed firms.
👥 読者別の含意
🔬研究者:ネットワーク理論とレジリエンス最適化を物流途絶リスク評価に応用する手法として参考になる。
🏢実務担当者:紅海・スエズリスク下での調達・物流ルート再編と在庫・船隊計画の意思決定に活用できる。
🏛政策担当者:重要航路の途絶に対する港湾・物流インフラの強靱化政策の優先順位検討に示唆を与える。
📄 Abstract（原文）
Maritime chokepoint disruptions can substantially degrade shipping services even when the underlying network remains structurally connected. This study examines the Red Sea–Suez disruption and evaluates alternative recovery strategies. We develop a time-varying weighted shipping-network model incorporating load–capacity constraints, distance impedance, residual-capacity attraction, and cascading functional degradation, together with a route-reconfiguration model balancing transport cost, delay, and resilience. A synthetic scenario network calibrated with public data comprises 32 major Asia–Europe container ports and 134 directed links. Twenty simulations combine five disruption intensities with four operationally defined recovery strategies. An equal-budget capacity allocation experiment is also conducted under 75% corridor loss. Under complete corridor loss, passive diversion reduces the service level Q to 0.827 and the effective-capacity index to 0.609, although the largest connected component remains intact and no port completely fails. Under 75% loss, joint optimization achieves the highest Q , whereas Cape rerouting has a lower generalized cost. Neither uniform nor alternative-path-targeted capacity expansion improves Q at three-decimal precision under the equal budget. The capacity allocation result does not imply that port expansion is generally ineffective. Under the present model calibration, port handling capacity is not the binding constraint; fleet turnover emerges as the principal operational bottleneck. The framework provides a mechanism-based scenario platform that can be further validated using observed Automatic Identification System (AIS) and liner-schedule data.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://www.frontiersin.org/journals/marine-science/articles/10.3389/fmars.2026.1961389/pdffirst seen 2026-09-27 05:15:57 · last seen 2026-09-29 05:30:16
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