Land　use　patterns　significantly　impact　urban　development　by　exerting　production-living-ecological　functions　(PLEFs).　Scientifically　measuring　the　relationships　among　PLEFs　is　essential　to　support　regional　high-quality　and　sustainable　development.　However,　the　current　identification　methods　of　PLEFs　are　biased,　and　researches　on　the　spatial　distribution　of　coordination　and　conflict　and　their　influencing　factors　in　metropolitan　are　insufficient.　This　study　proposed　an　improved　PLEFs　identification　method　to　analyze　the　PLEFs　in　Beijing　from　2000　to　2020　at　a　grid　scale.　Then,　the　coupling　coordination　degree　(CCD)　of　PLEFS　was　estimated　by　employing　spatiotemporal　data　and　spatial　statistical　models.　Finally,　the　impacts　of　the　socioeconomic　and　natural　factors　on　the　CCD　were　quantified　by　the　geographically　weighted　regression　model　(GWR).　The　results　showed　that　from　2000　to　2020,　(1)　the　areas　with　high　CCD　gathered　in　the　plain　areas　with　high　PF　and　LF,　and　the　low　CCD　areas　clustered　in　the　mountainous　areas　with　low　PF　and　LF;　(2)　the　EF　presented　a　closer　positive　relationship　with　CCD　in　the　plain　areas,　while　the　positive　impact　of　PF　and　LF　on　CCD　was　more　substantial　than　EF　in　the　mountainous　areas;　and　(3)　the　population　and　GDP　factors　had　high　positive　effects　on　CCD　in　the　north　and　west　mountain　areas,　and　the　altitude　and　slope　factors　negatively　affected　CCD　in　most　areas　of　Beijing,　except　for　a　few　areas　in　the　southeast.　Therefore,　formulating　a　regional　differentiation　strategy　to　achieve　the　sustainable　development　of　PLEFs　in　Beijing　was　crucial.