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.　©　2023　The　Author(s)