The　subway　system　is　experiencing　significant　waterlogging　challenges　due　to　climate　change　and　urbanization,　and　the　enclosed　underground　structure　makes　this　issue　worsen.　Identification　of　subway　system　waterlogging　resilience　(SSWR)　and　the　development　of　improvement　measures　are　critical.　We　proposed　a　＂Stability-Resistance-Recovery＂　assessment　framework　of　the　SSWR　based　on　the　system　performance　curve.　An　integrated　index　system　was　established,　which　defined　and　quantified　several　indexes　to　capture　unique　characteristics　of　subway　systems.　The　system　used　inundation　results　simulated　by　InfoWorks　ICM　model　as　trigger　for　waterlogging,　providing　accurate　reflection　of　inundation　situations　around　subway　stations.　A　case　study　in　Beijing　identified　the　stability　and　resistance　as　the　leading　factors　affecting　the　SSWR,　with　water　bodies　surface　percentage,　evening　peak　departure　time　interval,　and　population　density　having　the　strongest　impacts.　Subway　system　exhibited　a　relatively　low　level　of　waterlogging　resilience,　with　51.9%　of　stations　indicating　very　low　or　low　levels.　Stations　at　medium　SSWR　were　dispersed　throughout　the　areas　neighboring　stations　at　very　low　or　low　SSWR.　Stations　at　very　high　or　high　SSWR　were　minimal　and　scattered　in　peripheral　areas.　This　study　provides　a　widely　applicable　index　system　for　the　SSWR　and　helps　decision-makers　devise　the　improvement　measures.