An　effective　public　transport　network　is　helpful　to　improve　the　quality　of　public　transport　service　and　save　travel　time　of　travelers.　As　an　important　part　of　urban　transportation,　the　continuous　optimization　of　bus　network　is　necessary　to　improve　the　service　level　of　bus　transit.　Aiming　to　evaluate　the　rationality　and　feasibility　of　bus　optimization　scheme,　the　paper　discussed　the　factors　about　the　bus　service　supply　and　demand,　including　the　bus　operation,　passenger　flow　and　service　level.　Firstly,　based　on　multi-source　data　including　bus　smart　card　transaction　data,　bus　location　data　and　static　attribute　data　of　bus　network,　the　evaluation　indicator　system　of　bus　routes　optimization　effect　is　proposed.　Secondly,　a　comprehensive　evaluation　model　of　bus　route　optimization　is　established　by　applying　the　analytic　hierarchy　process　(AHP).　This　paper　systematically　analyzes　the　various　levels　bus　optimization　scheme　including　bus　route　level,　station　level,　bus　scheduling　scheme,　and　constructs　an　evaluation　model　covering　the　single　bus　route　optimization　and　multi-routes　combination　optimization.　The　quantitative　grading　evaluation　method　of　bus　routes　optimization　proposed　in　this　paper　can　scientifically　classify　the　performance　of　bus　route　optimization　and　provide　valuable　reference　for　the　decision-making　of　bus　route　adjustment.　Eventually,　this　study　also　selects　Beijing　bus　routes　optimization　scheme　for　empirical　analysis.　©　2021　The　Author(s)