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Article

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

1
CRRC Tangshan Co., Ltd., Tangshan 063000, China
2
School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China
3
School of Civil & Water Resources, Logistics Support Department, Qinghai University, Xining 810016, China
4
Research Institute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai 201306, China
5
School of Safety Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
*
Authors to whom correspondence should be addressed.
Sustainability 2026, 18(11), 5330; https://doi.org/10.3390/su18115330 (registering DOI)
Submission received: 21 April 2026 / Revised: 18 May 2026 / Accepted: 22 May 2026 / Published: 25 May 2026

Abstract

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.
Keywords: sustainable urban logistics; dual-use underground logistics system; urban emergency supply; underground space; network design; distributionally robust optimization; discrete-event simulation sustainable urban logistics; dual-use underground logistics system; urban emergency supply; underground space; network design; distributionally robust optimization; discrete-event simulation

Share and Cite

MDPI and ACS Style

Li, B.; Yang, W.; Shi, A.; Li, Q.; Li, R.; Wang, G.; Liang, C.; Dong, J. 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. Sustainability 2026, 18, 5330. https://doi.org/10.3390/su18115330

AMA Style

Li B, Yang W, Shi A, Li Q, Li R, Wang G, Liang C, Dong J. 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. Sustainability. 2026; 18(11):5330. https://doi.org/10.3390/su18115330

Chicago/Turabian Style

Li, Baoquan, Wang Yang, An Shi, Qingyu Li, Rushi Li, Gengchuan Wang, Chengji Liang, and Jianjun Dong. 2026. "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" Sustainability 18, no. 11: 5330. https://doi.org/10.3390/su18115330

APA Style

Li, B., Yang, W., Shi, A., Li, Q., Li, R., Wang, G., Liang, C., & Dong, J. (2026). 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. Sustainability, 18(11), 5330. https://doi.org/10.3390/su18115330

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