预览加载中，请您耐心等待几秒...

轨道交通接运公交发车间隔及票价优化模型.docx

预览
1/2
2/2

在线预览结束，喜欢就下载吧，查找使用更方便

下载提示 文本预览

如果您无法下载资料，请参考说明：

1、部分资料下载需要金币，请确保您的账户上有足够的金币

2、已购买过的文档，再次下载不重复扣费

3、资料包下载后请先用软件解压，在使用对应软件打开

轨道交通接运公交发车间隔及票价优化模型 Abstract Optimizingthedeparturetimeintervalsandticketpricesofrailtransitandbustransferservicesisacrucialaspectofenhancingtheoverallefficiencyandsatisfactionofpublictransportationservices,particularlyindenselypopulatedurbanareas.Thispaperaimstoproposeamodelforoptimizingsuchintervalsandprices.Themodelincludesfourmainstages:datacollection,analysis,implementation,andevaluation.Thedataarecollectedbyconductingsurveysandusingpublictransportationdatasourcestounderstandthecurrentsituation.Thecollecteddataareanalyzedtoidentifythekeyvariablesaffectingthefrequenciesandpricesofpublictransportationservices.Basedontheanalysisresults,optimalsubsequentintervalsandpricesarerecommended.Finally,evaluatingtheresultshelpsdeterminetheefficiencyandeffectivenessoftheimplementedmodel. Introduction Publictransportationisavitalelementofurbanmobilitysystemsthatcanenhanceaccessibility,reducecarbonemissions,andalleviatetrafficcongestion.However,theefficiencyandeffectivenessofpublictransportationservicesaresignificantlydependentonthefrequencyandpriceofoperations.Theimportanceofoptimizingthedeparturetimeintervalsandticketpricesofpublictransportationserviceshasrecentlyemergedasacriticalissueinmanyurbanareasworldwide.Thispaperconstitutesamodelforoptimizingtheintervalsandpricesoftransportservices,takingintoaccountthevariablesaffectingthelevelofdemandandsupplyofsuchservices. DataCollection Thisstageinvolvescollectingdataonpublictransportationservicesinthelocalarea,includingdataonpassengerflows,travelmodes,ticketprices,andpassengersatisfactionlevels.Datacanbeobtainedfromavarietyofstandardizedmethods,suchasconductingsurveys,accessingpublictransportationdatasources,andmonitoringpassengermovementsusingtechnologiessuchasGPSorRFID. DataAnalysis Thisstageinvolvesanalyzingthecollecteddatatoidentifythekeyvariablesaffectingthefrequenciesandpricesofpublictransportationservices.Thedataanalysishelpsdeterminethedemandandsupplycharacteristicsoftransportservices,includingpassengertrafficvolumesandt