Along　with　the　improvement　of　social　productivity　and　living　standard,　residential　buildings　generate　a　growing　portion　of　carbon　emissions,　especially　during　the　operation　stage.　However,　energy　use　behaviors　are　usually　ignored　in　carbon　emission　calculation.　This　study　focuses　on　calculating　carbon　emissions　during　the　operation　stage　for　residential　buildings　based　on　the　characteristics　of　energy　use　behaviors　in　different　regions.　Firstly,　we　investigated　energy　use　behaviors　in　dwellings　across　three　cities　in　China:　Xi＇an,　Shanghai　and　Fuzhou.　Then,　we　established　calibrated　carbon　emission　models　and　optimization　models　with　different　green　building　measures　for　residential　buildings.　The　results　of　this　research　reveal　a　significant　disparity　between　the　energy　usage　habits　of　residents　in　different　climate　regions.　The　carbon　emissions　of　residential　electricity　bills　in　Xi＇an,　Shanghai　and　Fuzhou　are　13.6　kgCO(2)/(m(2)a)　(excluding　central　heating),　29.3　kgCO(2)/(m(2)a)　and　17.2　kgCO(2)/(m(2)a),　respectively.　Equipment　carbon　emissions　account　for　32.2%-64.1%　of　the　total.　In　comparison　to　the　model　based　on　internal　standard　setting,　the　accuracy　of　the　models　using　actual　internal　has　improved　by　25.9%-37.4%.　The　three-star　green　building　methods　have　the　highest　carbon　reduction　rate　among　different　star　buildings,　the　emission　reduction　rates　are　around　30%.　This　study＇s　findings　are　useful　for　carbon　emission　calculation　and　green　building　design　of　residential　buildings　in　the　future.