This　study　focuses　on　solving　the　problem　of　metro　first/last　mile,　studying　the　method　for　designing　microcirculation　bus　routes　and　coordinating　schedules　considering　the　impact　of　shared　bicycles.　First,　we　propose　a　bilevel　mixed-integer　programming　model　for　designing　microcirculation　bus　routes　and　coordinating　schedules　considering　the　impact　of　shared　bicycles.　The　upper-level　model　minimizes　the　weighted　sum　of　the　travel　time　cost　of　passengers　and　the　operating　cost　of　public　transport　enterprises,　and　the　lower-level　model　maximizes　the　number　of　passengers　served　by　microcirculation　bus　routes.　Then,　an　improved　genetic　algorithm　is　developed　to　solve　the　model,　called　the　Monte　Carlo　adaptive　genetic　algorithm　(M-GAI).　Finally,　the　proposed　model　and　algorithm　are　evaluated　using　the　case　study　in　the　area　near　the　Fubao　metro　station　of　Shenzhen　Metro　Line　3.　Results　show　that　if　the　impact　of　shared　bicycles　is　not　considered,　the　passenger　demand　will　be　greater　than　the　actual　value,　and　the　operating　cost　of　public　transport　enterprises　will　be　increased　by　36%.　Compared　with　GAI,　the　average　number　of　iterations　of　M-GAI　is　reduced　by　31%,　and　the　objective　function　value　is　decreased　by　4%.　In　addition,　when　the　number　of　routes　increases,　the　average　waiting　time　of　passengers　is　shortened,　the　average　attendance　rate　of　microcirculation　buses　increases,　and　the　average　empty　distance　of　each　vehicle　is　shortened.　However,　the　operating　cost　of　public　transport　enterprises　will　increase　with　the　number　of　routes.　Finally,　when　weight　factors　α　and　β　are　0.6　and　0.4,　respectively,　and　the　sum　of　the　travel　time　cost　of　passengers　and　the　operating　cost　of　public　transport　enterprises　reach　optimal.　　©　2024　American　Society　of　Civil　Engineers.