Investigating the resilience of engineering logistics networks against cascade failures in complex environments
A thorough assessment of the resilience of the engineering logistics network is crucial for maintaining a reliable and efficient supply chain of engineering materials.It provides essential insights for devising material transportation plans and contingency strategies in the event of traffic disruptions.Given the challenges posed by limited carrying capacity and diverse risks in transportation corridors within complex environments,we adopt a nuanced approach.By evaluating congestion levels at the road section level using the Greenberg speed-density model,we gain valuable insights into the dynamics of traffic flow within engineering logistics transportation networks across various timeframes.A load redistribution strategy,which incorporates the impact of road section congestion,is devised in conjunction with road section betweenness centrality.We select three attack modes that correspond to common causes of disruption within engineering logistics networks operating in complex environments,facilitating cascade failure simulations.Evaluation indices are then developed to gauge the resilience of both individual road sections and the overall network structure,as well as its service capacity.These metrics provide a comprehensive assessment of the network's invulnerability and the robustness of individual road segments.To validate the model's effectiveness and rationality,we employ the logistics network from a transportation infrastructure construction project in a complex environment as a case study.The findings reveal a pivotal point in the impact of road section performance parameters on the network's resilience.Optimal enhancement of the engineering logistics network's invulnerability occurs when the road section tolerance parameter β and cascade failure threshold parameter λ are set to 0.5,representing the most economical and practical approach.The road sections within the engineering logistics network exhibit a consistent survival rate when faced with cascade failures of varying magnitudes.It is essential to develop a targeted preservation strategy for road sections with lower survival rates.Engineering logistics networks demonstrate lower resilience against deliberate attacks on median descents but show increased resilience against intentional attacks on risky descents.In comparison to the conventional load reallocation approach,the proposed congestion effect allocation strategy in this study can enhance the resilience of engineering logistics networks by approximately 38％.The findings of the study offer scientific backing for the development of emergency transportation plans within engineering logistics networks operating in complex environments.
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