为增强城市群客运网络在遭遇暴雨、洪水等突发事件时的韧性，提出并验证了一种基于旅客出行阻抗的城市群客运网络韧性提升方法。首先，深入分析复合交通网络结构特点，构建反映不同运输方式间换乘关系的城市群客运交通网络模型；其次，结合旅客出行成本与时间，运用综合阻抗来量化网络边的权重，以网络阻抗效率作为韧性测度指标；最后，以呼包鄂乌城市群为例进行仿真研究，模拟随机加边、节点度加边、节点介数加边和聚类系数加边等4种加边策略在不同攻击场景下对网络韧性的提升效果。实验结果显示，蓄意攻击使网络性能迅速下降，且与随机攻击相比，瘫痪站点数量增加了20%；在不同攻击方式下，相较于原始网络，4种加边策略均可有效降低旅客出行成本和网络瘫痪比例，且出行成本最多可降低27.9%；4种加边策略分别使网络韧性提升了10%, 22%, 7%, 14%。研究结果表明，不同加边策略对城市群客运网络韧性有不同程度的影响，其中节点度加边策略对网络韧性提升效果最大。

In order to enhance the resilience of urban agglomeration passenger transport network in the event of rainstorm, flood and other emergencies, a method of improving the resilience of urban agglomeration passenger transport network based on passenger travel impedance was proposed and verified. Firstly, the characteristics of the composite transportation network structure were analyzed in depth, and the urban agglomeration passenger transport network model reflecting the transfer relationship between different modes of transportation was constructed. Secondly, combined with passenger travel cost and time, the comprehensive impedance was used to quantify the weight of the network edge, and the network impedance efficiency was used as the measurement index of resilience. Finally, taking Hohhot-Baotou-Ordos-Ulanqab urban agglomeration as an example, the simulation study was carried out to simulate the improvement effect of four kinds of edge-adding strategies, such as random edge-adding, node degree edge-adding, node betweenness edge-adding and clustering coefficient edge-adding, on resilience under different attack scenarios. The experimental results show that deliberate attacks make the network performance decrease rapidly, and the number of paralyzed sites increases by 20% compared with random attacks. Under different attack modes, compared with the original network, all four edge-adding strategies mentioned above can effectively reduce the passenger travel cost and the proportion of network paralysis, and the travel cost can be reduced by up to 27.9%. The four edge-adding strategies increase the network resilience by 10%, 22%, 7% and 14%, respectively. The results show that different edge-adding strategies have different degrees of impact on the resilience of urban agglomeration passenger transport network, and the node degree edge-adding strategy has the greatest effect on the improvement of network resilience.