基于Maple的网约车平台最优抽成比例研究-豆柴文库

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基于Maple的网约车平台最优抽成比例研究
Title:OptimizationofCommissionRateforaMaple-basedRide-HailingPlatform
Abstract:
Withtherapiddevelopmentofthesharingeconomy,ride-hailingplatformshaverevolutionizedthetransportationindustry.Inordertomaintainasustainablebusinessmodel,ride-hailingplatformstypicallychargeacommissionfeeoneachtransaction.Determiningtheoptimalcommissionrateisacriticalchallengefortheseplatforms,asitdirectlyaffectstheirprofitabilityandabilitytoattractbothdriversandpassengers.ThispaperaimstoinvestigateandproposeanoptimalcommissionrateforaMaple-basedride-hailingplatform,consideringfactorssuchasdriverearnings,passengeraffordability,competition,andplatformrevenue.
1.Introduction
Thepopularityofride-hailingplatformslikeUberandLyfthasledtotheemergenceofnumerouslocalandregionalplatforms,includingthosebuiltonMaple.Toensurethelong-termviabilityoftheseplatforms,itiscrucialtostrikeabalancebetweentheinterestsofdrivers,passengers,andtheplatformitself.Thecommissionrateservesasakeyfactorinachievingthisbalance.ThisstudyaimstoprovideinsightsintooptimizingthecommissionrateforaMaple-basedride-hailingplatform.
2.FactorsInfluencingCommissionRateOptimization
Todeterminetheoptimalcommissionrate,severalfactorsneedtobeconsidered:
2.1DriverEarnings
Onecrucialaspectisensuringthatdriversearnafairincome.Ahighcommissionratemayleadtodissatisfactionamongdrivers,resultingindecreaseddriverretentionandavailability.Ontheotherhand,alowcommissionratemayadverselyaffecttheplatform'sprofitabilityandsustainability.Therefore,findingtherightbalancebetweendriverearningsandplatformrevenueisessential.
2.2PassengerAffordability
Maintainingaffordablepricesforpassengersisalsocriticalforthesuccessofaride-hailingplatform.Ahighcommissionratemayresultinincreasedpricesforpassengers,potentiallydiscouragingtheiruseoftheplatform.Conversely,atoolowcommissionratemayleadtolowerqualityorreducedavailabilityofservice.Strikingtherightbalanceisnecessarytokeeppricesreasonableforpassengerswhileensuringasatisfactorylevelofservice.
2.3Comp