In　the　ride-hailing　market,　the　platforms　could　recruit　contractors　subject　to　prescriptive　schedules　to　reduce　the　labor　supply　uncertainty　and　balance　the　demand　and　supply,　and　the　drivers　are　entitled　to　become　a　freelancer　or　a　contractor　and　choose　the　schedule　they　would　like　to　provide　the　service.　This　paper　proposes　an　analytical　framework　to　capture　the　drivers’　decisions　of　becoming　a　freelancer　and　contractor　as　well　as　how　to　arrange　their　work　schedules　in　a　dual　sourcing　market.　The　utility　structures　for　two　kinds　of　drivers,　freelancers　and　contractors,　are　defined　and　a　time-expanded　network　is　adopted　to　portray　the　drivers’　work　schedule　choices.　With　this　setting,　the　drivers’　simultaneous　contractual　mode　and　work　schedule　selection　model　is　formulated　and　the　algorithm　is　designed.　The　numerical　examples　are　conducted　to　investigate　the　characteristics　of　the　equilibrium　solutions.　The　results　show　that　a　dual-sourcing　market　is　always　advantageous　to　contractors　and　conditionally　beneficial　to　the　platform,　freelancers　and　customers.　When　there　is　low　potential　demand,　higher　fixed　salary　is　preferred　for　the　platform　to　attract　contractor　and　complement　the　labor　supply.　When　the　market　is　thriving,　the　effect　of　the　profits’　increment　by　dual-sourcing　is　not　obvious.　This　work　could　provide　new　insights　on　how　to　manage　a　dual-sourcing　market　for　the　platform.　©　2024　Elsevier　Ltd