The transportation systems are facing major challenges due to changes social environment caused by the COVID-19 pandemic. How to construct a suitable evaluation criterion system and suitable assessment method to evaluate the status of the urban transportation resilience has become a predicament nowadays. Firstly, the criteria for evaluating the current state of transportation resilience involve many aspects. New features of transportation resilience under epidemic normalization are exposed, and previous summaries focusing on resilience characteristics under natural disasters can hardly reflect the current state of urban transportation resilience comprehensively. Based on this, this paper attempts to incorporate the new criteria (Dynamicity, Synergy, Policy) into the evaluation system. Secondly, the assessment of urban transportation resilience involves numerous indicators, which make it difficult to obtain quantitative figures for the criteria. With this background, a comprehensive multi-criteria assessment model based on q-rung orthopair 2-tuple linguistic sets is constructed to evaluate the status of transportation infrastructure from perspective on the COVID-19. Then, an example of urban transportation resilience is given to demonstrate the feasibility of the proposed approach. Subsequently, sensitivity analysis about parameters and global robust sensitivity analysis are conducted, and comparative analysis of existing method is given. The results reveal that the proposed method is sensitive to global criteria weights, so it is suggested that more attention should be paid to the rationality of the weight of criteria to avoid the influence on the results when solving MCDM problems. Finally, the policy implications regarding transport infrastructure resilience and appropriate model development are given.

由于 COVID-19 大流行引起的社会环境变化，交通系统面临着重大挑战。如何构建适合的评价指标体系和评价方法来评价城市交通韧性状况成为当今的困境。首先，评价交通韧性现状的标准涉及多个方面。疫情常态化下交通韧性新特征暴露，以往侧重于自然灾害下韧性特征的总结难以全面反映城市交通韧性现状。基于此，本文尝试将新的标准（Dynamicity、Synergy、Policy）纳入评价体系。第二，城市交通韧性评估涉及的指标众多，很难获得标准的量化数字。在此背景下，构建了基于 q-rung orthopair 2 元组语言集的综合多标准评估模型，以从 COVID-19 的角度评估交通基础设施的状况。然后，给出了城市交通弹性的例子来证明所提出方法的可行性。随后，对参数进行了灵敏度分析和全局鲁棒灵敏度分析，并与现有方法进行了对比分析。结果表明，所提出的方法对全局标准权重敏感，因此建议在求解MCDM问题时要多注意准则权重的合理性，避免对结果造成影响。最后，给出了有关交通基础设施弹性和适当模型开发的政策含义。