【摘要】 为确保港口集疏运网络在节点失效情境下依然具备高效运行的能力，构建了考虑节点失效的港口集疏运网络成本-韧性双目标优化模型，设计了双层遗传算法进行求解，并采用长三角港口群的数据进行了实证分析，结果表明：(1)与不考虑节点失效和不考虑韧性的模型相比，本模型的港口集疏运网络总成本仅增加了2%～5%，网络韧性却提高了77%～162%，且展现出更优的区域均衡性与风险缓冲能力；(2)港口集疏运网络韧性提升存在边际效益递减现象，决策者应追求投入产出比最优的稳健网络建设方案；(3)与不考虑节点失效和不考虑韧性的模型相比，本模型求得的港口集疏运结构具有多种运输方式均衡发展的特点，在面对不确定环境时更具稳健性与灵活性。更多还原

【Abstract】 To ensure the efficient operational capability of the port collection and distribution network under node failure scenarios, a cost-resilience dual-objective optimization model considering node failures was constructed. A bi-level genetic algorithm was designed to solve the model. An empirical analysis was conducted using data from the Yangtze River Delta port cluster. The results are as follows.(1) Compared with models without considering node failures and resilience, this model has seen an increase by only 2%～5% in the total cost, while a rise by 77%～162% in the network resilience. Additionally, the model demonstrates a superior regional balance and risk-buffering capacity.(2) A diminishing marginal return exists in the enhancement of resilience in the port collection and distribution network. Decision-makers should pursue robust network construction solutions with optimal cost-effectiveness.(3) Compared with models without considering node failures and resilience, the port collection and distribution structure derived from this model features a balanced development across multiple transportation modes, demonstrating greater robustness and flexibility in uncertain environments.更多还原