Global　climate　change-induced　sea-level　rise　and　storm　wave　intensification,　along　with　the　large　population　densities　and　high-intensity　human　development　activities　in　coastal　areas,　have　caused　serious　burden　and　damage　to　China＇s　coasts,　led　to　the　rapid　growth　of　artificial　shorelines　development,　and　formed　a　＂new　Great　Wall＂　of　reinforced　concrete　against　the　laws　of　nature.　After　the　last　ice　age,　transgression　formed　the　different　features　of　China＇s　coast.　Depending　on　the　types　of　geological　and　landform　features,　coasts　are　divided　into　36　evaluation　units,　and　10　indicators　are　selected　from　natural　aspects　(including　tectonics,　geomorphology,　sediment,　and　storms)　and　aspects　of　social　economy　(population,　GDP,　Gross　Domestic　Product),　and　cloud　model　theory　is　used　to　build　a　coastal　erosion　vulnerability　evaluation　index　system　in　China.　The　results　show　that　high　grade　(V),　high-middle　grade　(IV),　middle　grade　(III),　low-middle　grade　(II),　and　low　grade　(I)　coastal　erosion　vulnerability　degrees　account　for　5.56,　13.89,　41.67,　33.33,　and　5.56%　of　the　Chinese　coastlines,　respectively.　The　coastal　erosion　vulnerability　of　the　subsidence　zone　is　significantly　higher　than　that　of　the　uplift　zone.　Reverse　cloud　model　and　analytic　hierarchy　process　calculation　show　that　the　main　factors　that　control　coastal　erosion　vulnerability　since　the　transgression　after　the　last　ice　age　are　geological　structure,　topography　and　lithological　features,　and　in　recent　years,　the　decrease　in　sea　sediment　loads　and　increase　in　reclamation　engineering.　Mainland　China　must　live　with　the　basic　situation　of　coastal　erosion,　and　this　study　shows　that　the　index　system　and　method　of　cloud　modeling　are　suitable　for　the　evaluation　of　the　coastal　erosion　vulnerability　of　the　Chinese　mainland.　This　study　provides　a　scientific　basis　for　the　adaptive　management　of　coastal　erosion,　coastal　disaster　assessment　and　the　overall　planning　of　land　and　sea.