With　the　advantages　of　congestion　alleviation,　environmental　friendliness,　as　well　as　a　better　travel　experience,　the　customized　bus　(CB)　system　to　reduce　individual　motorized　travel　is　highly　popular　in　increasing　numbers　of　cities　in　China.　The　line　planning　problem　is　a　key　aspect　of　the　CB　system.　This　paper　presents　a　detailed　flow　chart　of　a　CB　network　planning　methodology,　including　individual　reservation　travel　demand　data　processing,　CB　line　origin-destination　(OD)　area　division　considering　quantity　constraints　of　demand　in　areas　and　distance　constraints　based　on　agglomerative　hierarchical　clustering　(AHC),　an　initial　set　of　CB　lines　generating　quantity　constraints　of　the　demand　on　each　line　and　line　length　constraints,　and　line　selection　model　building,　striking　a　balance　between　operator　interests,　social　benefits,　and　passengers＇　interests.　Finally,　the　impacts　of　the　CB　vehicle　type,　the　fixed　operation　cost　of　online　car-hailing　(OCH),　and　the　weights　of　each　itemized　cost　are　discussed.　Serval　operating　schemes　for　the　Beijing　CB　network　were　created.　The　results　show　that　the　combination　of　CB　vehicles　with　49　seats　and　18　seats　is　the　most　cost-effective　and　that　CBs　with　low　capacity　are　more　cost-effective　than　those　with　larger　capacity.　People　receive　the　best　service　when　decision-makers　pay　more　attention　to　environmental　pollution　and　congestion　issues.　The　CB　network＇s　service　acceptance　rate　and　the　spatial　coverage　increase　with　the　fixed　operating　cost　per　OCH　vehicle　per　day　c(0C).　The　CB　vehicle　use　decreases　as　c(0C)　ccincreases.　The　results　of　this　study　can　provide　technical　support　for　CB　operators　who　design　CB　networks.