城市群多模式交通网络韧性恢复策略研究

doi:10.16097/j.cnki.1009-6744.2026.04.004

摘要/Abstract

摘要： 为提升城市群多模式交通网络韧性，本文以韧性最大化为目标研究多模式交通网络韧性恢复策略。构建无向加权的城市群多模式交通网络，综合考虑性能韧性和连通度韧性，其中，性能韧性由结构性能与功能性能构成，提出多模式交通网络韧性评估方法，并以韧性最大化为目标建立韧性修复双层规划模型，上层模型为双目标混合整数规划模型，下层模型为用户均衡分配模型。设计强化人工蜂鸟算法（RLAHA）和Frank-Wolfe算法分别求解上层模型和下层模型。借助西部地区城市群多模式交通网络验证模型和算法的有效性。结果表明：RLAHA算法具有更优的收敛性与求解质量，相比按度优先恢复策略与随机恢复策略，韧性修复决策模型得到的最优恢复策略下的韧性分别提升了15%与20%，该模型得到的最优修复调度方案从修复工作开始即提升韧性。维修队配置对西部地区城市群多模式交通网络韧性与整体修复工期影响较大，单种交通网络的维修工期随着维修队的增加而减少，但整体维修工期并未随维修队数量的增加而单调递减。结构性能权重对性能韧性与连通度韧性的影响较小，平均变化率仅为1.28%，决策者偏好系数对性能韧性的影响较大，对连通度韧性的影响较小，平均变化率分别为12.37%与3.39%。研究结果可为我国城市群多模式交通网络韧性评估与抢修恢复提供决策依据。

关键词: 综合交通运输, 韧性恢复, 双层规划模型, 多模式交通网络, 城市群

Abstract: To enhance the resilience of multi-modal transportation networks in urban agglomerations, this study investigates resilience recovery strategies for multi-modal transportation networks with the goal of maximizing resilience. This paper develops an undirected weighted multi-modal transportation network for urban agglomerations. A resilience assessment method is proposed for multi-modal transportation networks with consideration of performance resilience and connectivity resilience. The performance resilience consists of structural performance and functional performance. A bi-level programming model for resilience restoration is established with the objective of maximizing resilience, in which the upper-level model is a bi-objective mixed-integer programming model, and the lower-level model is a user equilibrium assignment model. The Reinforced Learning Artificial Hummingbird Algorithm (RLAHA) and the Frank-Wolfe algorithm are designed to solve the upper-level model and the lower-level model, respectively. The results show that the RLAHA algorithm exhibits superior convergence performance and solution quality. Under the optimal recovery strategy obtained by the resilience restoration decision model, resilience is improved by 15% and 20% respectively compared with the degree-priority recovery strategy and the random recovery strategy. The optimal repair scheduling scheme derived from this model enhances resilience from the commencement of repair operations. The allocation of maintenance teams has a considerable impact on the resilience and overall repair duration of multi-modal transportation networks in urban agglomerations in western China. The maintenance duration of a single transportation network decreases with an increase in maintenance teams, yet the overall repair duration does not decline monotonically with the growing number of maintenance teams. The structural performance weight has a minor effect on performance resilience and connectivity resilience, the average rates of change both are 1.28% . The decision maker's preference exerts a significant influence on performance resilience, but a slight impact on connectivity resilience, their average rates of change are 12.37% and 3.39% , respectively. The research findings can provide a decision-making basis for resilience assessment and emergency repair recovery of multi-modal transportation networks in urban agglomerations across China.

Key words: integrated transportation, resilience restoration, bi-level programming model, multimodal transportation network; urban agglomeration

中图分类号:

U491

周雪艳, 孙晨星, 周鑫. 城市群多模式交通网络韧性恢复策略研究[J]. 交通运输系统工程与信息, 2026, 26(4): 42-51.

ZHOU Xueyan, SUN Chenxing, ZHOU Xin. Resilience Recovery Strategy of Multimodal Transportation Network of Urban Agglomeration[J]. Journal of Transportation Systems Engineering and Information Technology, 2026, 26(4): 42-51.

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链接本文: http://www.tseit.org.cn/CN/10.16097/j.cnki.1009-6744.2026.04.004

http://www.tseit.org.cn/CN/Y2026/V26/I4/42

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