As　a　key　path　to　sustainable　urban　development,　the　jobs-housing　balance　is　crucial　in　addressing　the　issues　of　large　commuting　distances,　congestion,　and　environmental　pollution.　Numerous　studies　have　assessed　jobshousing　relationships　for　different　geographical　units,　leading　to　controversial　findings　that　confuse　planners　and　policymakers.　The　aim　of　this　study　is　to　develop　a　mobility-based　framework　to　determine　geographical　units　for　assessing　bilateral　jobs-housing　balance,　i.e.,　work-based　self-containment　(WSC)　and　home-based　selfcontainment　(HSC).　The　commuting　connection　intensity　index　is　proposed　based　on　the　Gravity　model　to　reflect　the　actual　commuting　relationship　among　regions　using　the　cell　phone　signaling　data　of　China　Unicom　in　September　2021.　The　community　detection　algorithm　is　then　applied　to　determine　geographic　units　for　the　assessment.　Evidence　from　Beijing　shows　an　inconsistency　between　WSC　and　HSC　in　the　39　identified　geographic　units　that　are　not　subjected　to　administrative　boundaries.　In　addition,　lower　WSC　and　HSC　values　in　Beijing　indicate　a　mismatch　between　jobs　and　housing　throughout　the　city,　particularly　in　the　urban　center.　The　findings　provide　a　geographical　recognition　method　for　assessing　the　jobs-housing　balance　and　assist　in　understanding　bilateral　jobs-housing　relationships　from　the　perspectives　of　jobs　and　housing.