Dockless　bike-sharing　(DBS)　is　popular　among　users　because　of　its　convenience　and　ready-to-stop　features,　however,　which　leads　to　uneven　Spatial–temporal　distribution.　Rational　dispatching　helps　balance　the　Spatio-temporal　of　the　DBS　and　achieve　the　goal　of　satisfying　more　people’s　riding　needs　with　fewer　bikes.　Previous　research　has　focused　more　on　the　establishment　of　dispatching　models　and　the　optimization　of　algorithms.　However,　direct　programming　of　the　entire　region　would　ignore　the　effect　of　distance　and　lead　to　inefficient　dispatching.　Therefore,　it　is　necessary　to　divide　the　area　for　zonal　dispatching　and　management.　In　this　paper,　a　DBS　network　model　is　constructed　using　the　DBS　order　data　of　Beijing.　The　connection　intensity　index　was　established　based　on　the　Gravity　model　and　applied　to　the　community　detection　algorithm　to　obtain　the　dispatching　communities.　Then,　the　bilateral　tidal　degree　of　each　community　in　the　morning　peak　was　evaluated　based　on　community　detection.　The　results　show　that　the　scale　of　each　dispatching　area　is　different,　with　an　average　scale　of　16 km2,　which　is　smaller　than　the　size　of　the　administrative　districts.　In　addition,　the　bilateral　tidal　phenomenon　is　more　serious　in　Zhongguancun,　the　southern　part　of　Xicheng　District,　and　the　western　part　of　Fengtai　District.　These　results　help　managers　to　have　a　more　comprehensive　understanding　of　the　tidal　characteristics　of　the　DBS,　facilitating　area　management　and　bicycle　dispatching.　©　The　Author(s),　under　exclusive　license　to　Springer　Nature　Singapore　Pte　Ltd.　2024.