Sustainable Design of a Dual-Use Underground Logistics Network for Routine Low-Carbon Goods Delivery and Urban Emergency Supply Under Uncertainty: A Hybrid Optimization-Simulation Approach
持続可能な設計:不確実性下での日常低炭素貨物配送と都市緊急供給のためのデュアルユース地下物流ネットワーク:ハイブリッド最適化シミュレーションアプローチ (AI 翻訳)
Baoquan Li, Wang Yang, An Shi, Qingyu Li, Rushi Li, Gengchuan Wang, Chengji Liang, Jianjun Dong
🤖 gxceed AI 要約
日本語
本研究は、日常の低炭素貨物配送と緊急時供給の両機能を備えた地下物流ネットワークの設計手法を提案。ワッサーシュタイン距離に基づくロバスト最適化とAnyLogicシミュレーションを組み合わせ、中国南京市のケーススタディでは緊急供給充足率84.84%、二酸化炭素排出60.20%削減を達成した。
English
This study proposes a dual-use underground logistics system (DULS) framework combining robust layout optimization with simulation. Using a Wasserstein-based distributionally robust optimization and AnyLogic discrete-event simulation, the case study in Nanjing achieved an emergency-demand fulfillment rate of 84.84% and reduced road-based freight emissions by 60.20% during routine operations.
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
日本でも都市物流の低炭素化や防災機能の強化が課題となっており、本手法は地下インフラを活用した総合的な物流設計に示唆を与える。
In the global GX context
This paper offers a transferable framework for designing dual-purpose underground logistics that can simultaneously reduce carbon emissions and enhance emergency resilience, relevant for urban areas worldwide.
👥 読者別の含意
🔬研究者:This paper provides a methodological framework combining robust optimization and simulation for dual-purpose logistics network design.
🏢実務担当者:Urban planners and logistics operators can apply the dual-use network concept to simultaneously reduce emissions and improve emergency preparedness.
🏛政策担当者:The study provides evidence for investing in underground logistics infrastructure as part of low-carbon urban development strategies.
📄 Abstract(原文)
Sustainable urban logistics requires infrastructure that can support routine low-carbon freight delivery while maintaining emergency supply capacity under disruptions. However, existing underground logistics system studies mainly focus on routine freight efficiency and network feasibility, whereas emergency logistics research is largely based on surface transport systems. Limited attention has been paid to the integrated design and operational validation of dual-use underground logistics networks under uncertain routine and emergency demand. To address this gap, this study proposes a dual-use underground logistics system (DULS) framework that combines robust layout optimization with dynamic simulation. A multi-echelon network consisting of supply centers, primary nodes, secondary nodes, and demand points is constructed. Candidate primary nodes are screened using an entropy-weighted TOPSIS method, and a Wasserstein-based distributionally robust optimization model is formulated to jointly determine node location, resource allocation, and freight paths under demand uncertainty. A hybrid heuristic is developed to solve the model, and an AnyLogic-based discrete-event simulation model is used to evaluate operational performance under different demand-generation patterns and train operation strategies. In the Nanjing case, the optimized DULS includes 19 primary nodes and 72 secondary nodes, achieves an emergency-demand fulfillment rate of 84.84%, and keeps the average end-to-end emergency supply time within 4 h. Cross-station operation performs better than the all-stop mode in both transport time and deprivation cost. An ex-post operational emission comparison further indicates that the DULS can reduce road-based freight emissions by 60.20% under routine operations. The proposed framework provides methodological support for planning sustainable dual-use underground logistics infrastructure serving both routine freight delivery and emergency supply.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/su18115330first seen 2026-05-29 05:04:31 · last seen 2026-06-03 05:02:26
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