The　urban　bus　service　system　is　one　of　the　most　important　components　of　a　public　transport　system.　Thus,　exploring　the　spatial　configuration　of　the　urban　bus　service　system　promotes　an　understanding　of　the　quality　of　bus　services.　Such　an　understanding　is　of　great　importance　to　urban　transport　planning　and　policy　making.　In　this　study,　we　investigated　the　spatial　characteristics　of　an　urban　bus　service　system　by　using　the　complex　network　approach.　First,　a　three-step　workflow　was　developed　to　collect　a　bus　operating　dataset　from　a　public　website.　Then,　we　utilized　the　P-space　method　to　represent　the　bus　service　network　by　connecting　all　bus　stop　pairs　along　each　bus　line.　With　the　constructed　bus　network,　a　set　of　network　analysis　indicators　were　calculated　to　quantify　the　role　of　nodes　in　the　network.　A　case　study　of　Shenzhen,　China　was　implemented　to　understand　the　statistical　properties　and　spatial　characteristics　of　the　urban　bus　network　configuration.　The　empirical　findings　can　provide　insights　into　the　statistical　laws　and　distinct　convenient　areas　in　a　bus　service　network,　and　consequently　aid　in　optimizing　the　allocation　of　bus　stops　and　routes.