This　research　aimed　to　propose　a　route　optimization　method　for　long-distance　commuter　bus　service　to　improve　the　attraction　of　public　transport　as　a　sustainable　travel　mode.　Taking　the　express　bus　services　(EBS)　in　Changping　Corridor　in　Beijing　as　an　example,　we　put　forward　an　EBS　route-planning　method　for　long-distance　commuter　based　on　a　solving　algorithm　for　vehicle　routing　problem　with　pickups　and　deliveries　(VRPPD)　to　determine　the　length　of　routes,　number　of　lines,　and　stop　location.　Mobile　phone　location　(MPL)　data　served　as　a　valid　instrument　for　the　origin-destination　(OD)　estimation,　which　provided　a　new　perspective　to　identify　the　locations　of　homes　and　jobs.　The　OD　distribution　matrices　were　specified　via　geocoded　MPL　data.　The　optimization　objective　of　the　EBS　is　to　minimize　the　total　distance　traveled　by　the　lines,　subject　to　maximum　segment　capacity　constraints.　The　sensitivity　analysis　was　done　to　several　key　factors　(e.g.,　the　segment　capacity,　vehicle　capacity,　and　headway)　influencing　the　number　of　lines,　the　length　of　routes.　The　results　suggest　that　the　scenario　with　the　segment　capacity　of　4000　passengers/h　has　a　minimum　of　number　and　length　of　lines,　but　we　recommend　that　the　transit　agency　adopt　3000　passengers/h　as　the　route　segment　capacity　because　this　scenario　results　in　minimum　fleet　size　and　minimum　total　operation　length.