The　frequent　occurrence　of　natural　disasters　and　operational　incidents　poses　a　significant　threat　to　urban　rail　transit　(URT)　systems.　Therefore,　it　is　crucial　to　design　a　resilient　URT　network　that　can　offer　commuters　convenient　and　reliable　services.　In　this　study,　we　construct　a　URT　life-cycle　resilience　assessment　model　oriented　towards　passenger　travel　service.　This　proposed　methodology　is　applied　to　the　Beijing　rail　transit　using　real-world　data.　The　results　indicate　that　the　importance　of　stations　depends　not　only　on　topology　but　also　on　passenger　flow　and　redundancy　alternatives.　The　loop　line　exhibits　greater　resilience　and　can　efficiently　evacuate　passengers　in　the　event　of　a　disturbance.　Additionally,　hub　transfer　stations　that　connect　to　suburban　areas,　while　not　central　in　the　network＇s　topology,　emerge　as　potential　weak　points.　The　findings　of　this　study　carry　substantial　implications　for　the　URT＇s　daily　operational　management　and　decisionmaking　processes.