Prior　research　demonstrated　that　the　uncertainty　of　soil　parameter　can　significantly　impact　the　seismic　response　analysis　and　seismic　performance　evaluation　of　underground　structures.　To　this　end,　the　seismic　response　of　a　three-story,　three-span　subway　station　embedded　in　a　typical　layered　engineering　site　was　investigated　in　this　study　and　the　uncertainty　of　soil　parameters　was　explicitly　considered　using　the　shear-wave　velocity　interlayer　correlation　model.　In　addition,　an　incremental　dynamic　analysis　considering　the　uncertainty　of　the　shear-wave　velocity　was　performed　using　the　one-dimensional　convolutional　neural　network　(1D-CNN)　model　as　a　surrogate　model　for　the　traditional　finite　element　method.　The　results　indicate　that　the　uncertainty　of　soil　shear-wave　velocity　increases　the　average　PGA　values　for　minor,　moderate,　and　severe　failures　with　a　probability　of　exceeding　50%　by　about　10%,　and　increases　the　logarithmic　standard　deviation　by　about　40%.　When　considering　the　uncertainty　of　shear-wave　velocity,　the　discreteness　of　the　fragility　curve　will　increase.　Moreover,　the　rightward　shift　of　the　fragility　curve　midpoint　leads　to　a　comparatively　more　safety　seismic　performance　evaluation　of　the　structure　under　significant　seismic　input.