To　investigate　the　effects　of　different　subjects’　behavioral　decisions　on　the　development　and　utilization　of　＇urban　mining＇,　this　paper　starts　from　five　main　subjects:　Residents,　public　institutions,　classification　units,　resource　recycling　enterprises,　and　the　government.　Firstly,　the　system　dynamics　model　of　the　development　and　utilization　of　＇urban　mining＇　is　constructed　using　the　grey　model　theory　approach.　The　validity　of　the　model　is　judged　by　the　method　of　qualified　verification　of　the　degree　of　incidence.　Secondly,　we　conduct　mid-　and　long-term　dynamic　simulation　of　the　five　main　subjects’　behavior　decisions.　The　results　show　that　the　trading　platform　and　value　recognition　have　the　most　significant　impact　on　residents　and　public　institutions’　behavior.　Waste　circulation　information　has　the　most　significant　effect　on　the　behavior　of　sorting　units.　For　resource　recycling　enterprises,　the　supply　and　demand　of　renewable　products　is　the　main　factor　in　their　behavior　changes.　Furthermore,　by　further　analyzing　the　external　environmental　factors　of　＇urban　mining＇　recovery,　it　can　be　seen　that　a　single　policy　has　a　limited　standardized　effect　on　＇urban　mining＇　recovery.　On　the　contrary,　optimizing　formal　recycling　channels,　regulating　informal　recycling　channels,　and　inhibiting　illegal　dumping　are　conducive　to　developing　and　utilizing　＇urban　mining＇.　Finally,　by　comparing　the　five　significant　subjects’　combined　plans,　it　indicates　that　improving　residents’　and　public　institutions’　behavior　decisions　is　key　to　developing　and　utilizing　＇urban　mining＇.　©　2022,　Editorial　Board　of　Journal　of　Systems　Engineering　Society　of　China.　All　right　reserved.