This　research　aims　to　propose　an　efficient　and　eco-nomic　operation　mode　for　bus　scheduling　optimization　by　combining　with　the　skip-stop　buses　and　all-stop　buses.　The　skip-stop　tactics　in　bus　operation　provide　service　of　high　efficiency,　good　punctuality　and　high　speed　for　long　distance　commuters,　which　attracts　wide　scholarly　attention.　This　paper　establishes　a　model　to　quantitatively　evaluate　the　relevance　between　stops,　and　then　de-velops　a　new　optimization　method　of　skip-stop　tactics　using　the　data　sets　of　IC　card　and　bus　GPS　trajectory.　A　collaborating　scheduling　optimization　model　considering　the　support　and　confidence　among　the　stops　is　proposed　to　precisely　suit　passengers’　demands　and　improve　bus　service.　The　optimization　objective　is　to　reduce　the　passengers’　total　travel　time,　the　number　of　vehicles　in　use,　and　operation　energy　for　both　the　user’s　and　the　operator’s　benefits.　This　methodology　is　developed　for　a　single-directional　route　using　a　multi-decision　choice　model　with　genetic　algorithm　applied　to　attain　efficient　solutions.　A　case　study　of　Qingdao,　which　is　as-sessed　in　this　new　model,　shows　a　reduction　of　18.31%　in　total　passenger　travel　time　and　17.65%　in　the　operational　inputs　as　compared　with　solutions　that　do　not　consider　the　skip-stop　tactics.　©　Wuhan　University　2020.