Journal of Transportation Systems Engineering and Information Technology ›› 2025, Vol. 25 ›› Issue (5): 145-157.DOI: 10.16097/j.cnki.1009-6744.2025.05.013

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Optimization of Multi-allocation Multimodal Express Network Considering Hub Failures

TIAN Shuaihui*a, CHEN Anqib, SUN Jiazhengb, WANG Kejiea, ZHANG Hengbob   

  1. a. School of Modern Posts; b. School of Economics and Management, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
  • Received:2025-06-01 Revised:2025-08-01 Accepted:2025-08-14 Online:2025-10-25 Published:2025-10-25
  • Supported by:
    Scientific and Technological Research Program of Chongqing Municipal Education Commission (KJQN202402605);Chongqing Social Science Planning Project(2024NDYB076)。

考虑枢纽点失效的多分配多式联运快递网络优化

田帅辉*a,陈安琪b,孙家正b,王柯杰a,张恒博b   

  1. 重庆邮电大学,a.现代邮政学院;b.经济管理学院,重庆400065
  • 作者简介:田帅辉(1984—),男,河北邯郸人,教授,博士。
  • 基金资助:
    重庆市教育委员会科学技术研究项目(KJQN202402605);重庆市社会科学规划项目(2024NDYB076)。

Abstract: To mitigate the issue of rising operational costs in express delivery networks caused by hub failures, this study proposes an implementation based on the backup hub strategy to reduce the impact of hub failures on the network. Queuing theory is employed to quantify the cargo processing time at the hub nodes. In the traditional single-allocation hub-and-spoke express delivery networks, hub failures can lead to significantly increment in network transportation costs and congestion costs. Therefore, in order to alleviate hub congestion and reduce operational costs, this study considers a network structure where non-hub nodes can be allocated to multiple hub nodes, as well as the diversity of transportation modes between hubs, and then constructs an optimized multi-allocation multimodal express delivery network model that accounts for hub failures. To validate the effectiveness of the optimized model, this study employs an enhanced genetic algorithm to solve the model using Turkey network dataset as the experimental benchmark. Experimental results demonstrate that, compared to the conventional multi-allocation multimodal express delivery network model, the proposed optimized model reduces the total failure cost by 29.3% and decreases the post-failure transportation cost by 36.4% These findings confirm that the proposed model effectively mitigates the impact of network disruptions caused by hub failures, and provides valuable insights for the optimization of express delivery network layouts.

Key words: integrated transportation, network layout optimization, enhanced genetic algorithm, multimodal transportation, hub failure, queuing theory

摘要: 为缓解由于枢纽点失效导致的快递网络运营成本上升问题,考虑引入备份枢纽策略,降低枢纽失效对快递网络的影响,并运用排队论量化枢纽点的货物处理时间。同时,在传统的单分配轴辐式快递网络中,枢纽点的失效会产生较高的网络运输成本和拥堵成本。因此,为减少枢纽拥堵降低运营成本,考虑非枢纽节点可以分配给多个枢纽节点的网络结构,以及枢纽点之间运输方式的多样性,构建考虑枢纽点失效的多分配多式联运快递网络优化模型。为验证优化模型的有效性,基于Turkey网络数据集,采用改进遗传算法对模型进行求解。实验结果表明,相较于多分配多式联运快递网络模型,考虑枢纽点失效的多分配多式联运快递网络优化模型可使网络总失效成本降低29.3%,失效后的总运输成本减少36.4%。实验结果验证了优化模型能够有效降低枢纽点失效导致网络中断影响,对快递网络布局优化具有一定的参考价值。

关键词: 综合运输, 网络布局优化, 改进遗传算法, 多式联运, 枢纽失效, 排队论

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