Modeling Resilience of Metro-Based Urban Underground Logistics System Based on Multi-Layer Interdependent Network

Jiaojiao Li, Jianjun Dong (), Rui Ren and Zhilong Chen ()
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Jiaojiao Li: School of Defense Engineering, Army Engineering University of PLA, 88 Houbiaoying Road, Qinhuai District, Nanjing 210007, China
Jianjun Dong: School of Science, Nanjing University of Science and Technology, Nanjing 210094, China
Rui Ren: School of Defense Engineering, Army Engineering University of PLA, 88 Houbiaoying Road, Qinhuai District, Nanjing 210007, China
Zhilong Chen: School of Defense Engineering, Army Engineering University of PLA, 88 Houbiaoying Road, Qinhuai District, Nanjing 210007, China

Sustainability, 2024, vol. 16, issue 22, 1-23

Abstract: The metro-based underground logistics system (M-ULS) has been identified as an effective solution to urban problems resulting from the expansion of urban freight traffic. However, there is a paucity of current research that examines the resilience of a M-ULS in the context of unexpected events during operations. Therefore, this paper presents a methodology for assessing the resilience of the M-ULS. The method considers the propagation paths of various failures in a multi-layered, interdependent network that includes topology, functionality, facilities, and information, as well as network performance indicators based on network freight flow and logistics timeliness. The effectiveness of the method is demonstrated using the case of the Nanjing Metro. The results show that the type of disruption, the duration, and the direction of train travel all have a significant impact on the resilience of the M-ULS. The method proposed in this paper provides a scientific basis for the assessment and optimization of M-ULS resilience and also offers new insights into the use of urban rail transit to promote the sustainable development of urban logistics.

Keywords: metro; underground logistics system; multi-layer interdependent network; resilience (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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