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XAI–MCDA-HoDEM: An Explainable Multi-Criteria Decision Framework for Maritime and Port Decarbonization

XAI–MCDA-HoDEM：海事・港湾脱炭素化のための説明可能な多基準意思決定フレームワーク (AI 翻訳)

Monica Canepa

Gases📚 査読済 / ジャーナル2026-05-14#AI×ESGOrigin: Global経営インパクト: コスト削減対象セクター: transport
DOI: 10.3390/gases6020025
原典: https://doi.org/10.3390/gases6020025

🤖 gxceed AI 要約

日本語

海事・港湾の脱炭素化技術選定を支援する説明可能な多基準意思決定フレームワークを提案。AHP、TOPSIS、SHAPを統合し、経済・技術・環境・社会・サイバー物理セキュリティの各基準を考慮。ロッテルダム港の実データで検証し、安定したランキングと意思決定要因の解釈可能性を実証。IMO戦略やEU ETS等の政策文脈に適合。

English

This paper proposes an explainable multi-criteria decision framework for maritime and port decarbonization, integrating AHP, TOPSIS, and SHAP. It incorporates cyber-physical security as a core criterion and is validated with real-world data at the Port of Rotterdam, demonstrating stable rankings and improved interpretability. The framework supports transparent, policy-relevant decisions aligned with IMO and EU regulations.

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

日本の港湾・海運業界はIMO戦略やEU規制への対応が迫られており、本フレームワークは脱炭素技術選定の透明性向上に寄与。SSBJ開示や投資家対応にも応用可能な意思決定支援として注目される。

In the global GX context

This framework addresses the growing need for transparent decision-making in maritime decarbonization, aligning with IMO's GHG strategy and EU ETS extension. It offers a replicable methodology for ports and shipping stakeholders globally, enhancing policy-relevant evaluation of technology options.

👥 読者別の含意

🔬研究者:Provides a novel integration of MCDA and XAI for decarbonization decisions, with empirical validation at a major port.

🏢実務担当者:Offers a structured, explainable tool for evaluating decarbonization technologies, useful for port authorities and shipping companies.

🏛政策担当者:Demonstrates a transparent approach to support regulatory compliance and technology selection in maritime transport.

📄 Abstract（原文）

Maritime transport accounts for around 3% of global anthropogenic greenhouse gas (GHG) emissions, a share expected to grow without effective technological and regulatory intervention. Recent policy developments, including the IMO Revised GHG Strategy (2023), the extension of the EU Emissions Trading System to maritime transport, and the FuelEU Maritime Regulation, require ports and shipping stakeholders to evaluate multiple decarbonization technologies under complex and often conflicting constraints. These decisions involve trade-offs across economic, technical, environmental, social, and cyber–physical security dimensions, which are not adequately addressed by conventional decision-support tools. This paper introduces XAI–MCDA-HoDEM, an explainable multi-criteria decision framework integrating Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and SHAP-based explainability. The framework explicitly incorporates cyber–physical security as a core evaluation criterion and provides transparent, criterion-level explanations of decision outcomes. Using real-world data, the methodology is demonstrated through an illustrative case study and empirically validated at the Port of Rotterdam. Results show stable and robust rankings, alignment with observed port decarbonization strategies, and improved interpretability of decision drivers. The proposed framework supports transparent, policy-relevant decision-making for the maritime energy transition.

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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。