Maintaining　the　alignment　of　the　shield　tunneling　axis　with　the　designed　tunnel　axis　is　crucial　in　urban　subway　construction.　However,　previous　studies　have　only　verified　the　accuracy　of　the　models　in　a　specific　project,　ignoring　model　transferability.　This　paper　proposes　a　multistep　transferable　prediction　method　(PCA-GRU)　for　shield　attitude　and　employs　feature　importance　analysis　of　the　PCA-GRU　model　through　feature　dimensionality　reduction　experiments.　Datasets　obtained　from　the　Guangzhou　and　Fuzhou　Metro　Line　X　Projects　were　used　to　validate　the　accuracy　of　the　proposed　method.　The　results　revealed　that　PCA　can　unify　the　model　input,　enabling　the　model　to　be　applied　to　different　projects,　and　the　proposed　model　could　produce　an　accurate　prediction　within　24　steps,　with　an　average　R2　of　0.94　and　0.97　in　the　Guangzhou　and　Fuzhou　projects.　This　indicates　that　the　proposed　model　possesses　transferability　and　generalization　ability,　which　can　aid　decision-making　during　urban　subway　construction.