The　construction　of　a　new　generation　of　smart　cities　puts　forward　higher　requirements　for　the　digitization　and　intelligence　of　subway　tunnel　engineering.　Digital　twin　technology　has　shown　great　potential　in　high-fidelity　modeling,　virtual-real　mapping,　and　decision　support　based　on　data　analysis,　but　its　research　is　still　in　its　infancy.　To　this　end,　this　paper　first　discusses　in　depth　the　inherent　complexity　and　safety　risks　of　subway　tunnel　construction　and　emphasizes　the　significant　advantages　of　digital　twin　technology　compared　with　traditional　technology.　Then,　by　summarizing　the　existing　concepts,　this　paper　proposes　a　specific　explanation　of　DT　applicable　to　subway　tunnel　engineering.　In　order　to　deeply　analyze　the　potential　of　digital　twin　technology　in　subway　tunnel　engineering,　this　paper　first　conducts　a　bibliometric　analysis　and　organizes　the　relevant　research　directions　in　recent　years　based　on　a　visual　map.　Then,　the　application　of　DT　in　the　field　of　subway　tunnel　engineering　is　discussed,　including　the　modeling　method　of　the　subway　digital　twin,　intelligent　management　of　the　construction　process,　safety　guarantee,　operation　and　maintenance,　and　resource　optimization　of　traffic　facilities　in　subway　stations.　Finally,　this　paper　discusses　the　prospects　and　gaps　of　digital　twin　technology　in　theoretical　and　practical　applications,　aiming　to　promote　the　practical　application　of　this　technology　in　subway　tunnel　engineering.　Through　the　summary　and　prospect　of　the　existing　research,　this　paper　provides　a　valuable　reference　for　future　research　directions　and　practical　applications.