Urban　greenspaces　(UGSs)　are　pivotal　for　ecological　enhancement　and　the　well-being　of　urban　residents.　The　accurate　quantification　of　greenspace　exposure　(GE)　and　its　distributional　equality　is　essential　for　equitable　urban　planning　and　mitigating　inequalities　in　greenspace　access.　This　study　introduces　a　novel　population-EVI-weighted　model　that　integrates　the　Enhanced　Vegetation　Index　(EVI),　land　cover,　and　demographic　data　to　evaluate　GE　across　various　spatial　scales　and　buffer　distances　(300　m,　500　m,　and　1　km).　This　model　provides　a　more　nuanced　representation　of　realistic　UGSs　utilization　by　residents　than　traditional　metrics　of　greenspace　coverage　or　simple　population-weighted　exposure.　Our　comprehensive　analysis　reveals　that　refining　the　spatial　scale　improves　the　understanding　of　GE＇s　spatial　variation　and　its　distributional　equality.　Furthermore,　increasing　the　buffer　distance　substantially　enhances　GE　and　its　distributional　equality　across　20　cities　and　over　93%　of　counties　within　the　Urban　Agglomeration　on　the　West　Side　of　the　Straits　(WSS).　Notably,　the　county　level　shows　superior　performance　and　greater　sensitivity　to　buffer　distance　adjustments　compared　to　the　city　level　in　the　WSS.　These　findings　underscore　the　importance　of　scale　and　buffer　distance　in　urban　greenspace　planning　to　achieve　equal　access　to　greenspaces.