Making last mile logistics models aware of customer choices, demand sustainability and data economy
ラストマイル物流モデルにおける顧客選択、需要の持続可能性、データ経済の考慮 (AI 翻訳)
Katharina Beck, Javi Esquillor, Mohammad Mahdi Zarei, Isabel Froes, Isabella Hauswald, Amalia Giannakopoulou, Heike Flämig
🤖 gxceed AI 要約
日本語
本論文は、都市部のラストマイル物流におけるGHG排出増加に対処するため、顧客中心主義を取り入れた持続可能性フレームワークを提案する。EUプロジェクトDECARBOMILEの一環として、原因と結果の連鎖を分析し、需要パターンとデータ活用を考慮した脱炭素化ソリューションを特定する。このフレームワークは、持続可能性目標に基づく意思決定支援システムの開発を促進する。
English
This paper proposes a sustainability framework for last mile logistics that incorporates customer centricity to address rising GHG emissions in urban areas. As part of the EU DECARBOMILE project, it analyzes cause-and-effect chains to identify decarbonization solutions considering demand patterns and data valorization. The framework supports the development of a decision support system based on sustainability targets.
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
日本では、EC市場の拡大に伴いラストマイル物流の脱炭素化が急務となっている。本フレームワークは、顧客選択やデータ経済を考慮した点が特徴で、日本の物流事業者や自治体が持続可能な配送システムを設計する際の参考となる。
In the global GX context
This framework addresses the global challenge of decarbonizing urban last mile logistics by integrating customer choices and data economy. It provides a standardized method applicable to various contexts, supporting the EU's Green Deal and similar initiatives worldwide.
👥 読者別の含意
🔬研究者:Provides a structured cause-and-effect framework for analyzing last mile logistics sustainability, integrating customer behavior and data valorization.
🏢実務担当者:Offers a standardized approach to identify and prioritize decarbonization actions in last mile logistics, useful for logistics companies and urban planners.
🏛政策担当者:Supports the development of stakeholder-focused decision support systems for urban logistics policy, aligning with EU sustainability targets.
📄 Abstract（原文）
Abstract By 2030, the rise of delivery vehicles in the ten most populated cities worldwide is expected to increase GHG emissions between 21% and 32%. This trend puts pressure on public and private stakeholders to take measures to improve the sustainability of last mile logistics in cities. The EU-project DECARBOMILE (DECARBOnize last MILE logistics) aims to develop interoperable and multimodal logistics solutions for decarbonized last mile delivery in urban contexts in the years 2022–2026. This study presents a new framework of last mile’s cause-and-effect chain to identify potential sustainable logistics solutions, hence embracing customer centricity. The latter is beyond the scope of conventional logistics management and makes it difficult to manage the subsequent drivers of last mile logistics and supply chain disruption: demand patterns and data valorization. The sustainability framework first maps the last mile challenges against the PI-oriented transport system model. With its sustainable performance criterion, the framework provides a standardized approach to prioritize actions for addressing the challenges and measuring their target impacts accordingly. As a conclusion of this study, the approach: (1) provides a standardized method to identify use cases to decarbonize the last mile logistics in different contexts, (2) supports the development of a stakeholder-focused, effective decision support system that enables to define, analyze, and compare scenarios based on sustainability targets, and (3) fosters the design and deployment of sustainable last mile systems as well as their replicability.
🔗 Provenance — このレコードを発見したソース
- openaire https://doi.org/10.1186/s12544-024-00683-9first seen 2026-05-05 19:06:39
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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。