全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
地理学报  2012 

基于手机基站数据的城市交通流量模拟

DOI: 10.11821/xb201212007, PP. 1657-1665

Keywords: 人类移动性,手机基站数据,城市交通流量模拟

Full-Text   Cite this paper   Add to My Lib

Abstract:

基于移动定位数据的城市内社会经济活动特征分析是人类移动性的重要研究内容,而交通流量更是这些特征的基本反映。为还原城市道路网络的使用情况并分析其分布特征,本文从产生交通流量的个体出发,对包含基站位置的手机话单数据进行系统抽样,利用蒙特卡洛方法产生个体的出行起止点,并结合当地道路交通网络求得最短路径,最后估算出一天内道路交通网络上的流量分布。通过分析发现城市内大部分道路的流量小,使用率低,大部分交通流量集中在小部分主干道路;进一步统计分析可知,当地道路交通流量符合20/80规律,即大约20%的道路承担着80%的交通流量;而对不同类型的道路,流量分布也反映出其在城市道路网络中的地位和作用。此研究对于历史交通流量分布的重现、城市道路交通模式的研究以及基于此的道路网络规划情景模拟都有着重要意义。

References

[1]  LuZi,ZhaoYahong,WuShifengetal.Thetimedistributionandguideanalysisofvisitingbehavioroftourismwebsiteusers.ActaGeographicaSinica,2007,62(6):621-630.[路紫,赵亚红,吴士锋等.旅游网站访问者行为的时间分布及导引分析.地理学报,2007,62(6):621-630.]
[2]  MaoXia,XuRongrong,LiXinshuoetal.FinegriddynamicfeaturesofpopulationdistributioninShenzhen.ActaGeographicaSinica,2010,65(4):443-453.[毛夏,徐蓉蓉,李新硕等.深圳市人口分布的细网格动态特征.地理学报,2010,65(4):443-453.]
[3]  KwanM,DijstM,SchwanenT.TheinteractionbetweenICTandhumanactivity-travelbehavior.TransportationResearchPartA:PolicyandPractice,2007,41(2):121-124.
[4]  BrockmannD,HufnagelL,GeiselT.Thescalinglawsofhumantravel.Nature,2006,439(7075):462-465.
[5]  AhasR,AasaA,Marküetal.SeasonaltourismspacesinEstonia:Casestudywithmobilepositioningdata.TourismManagement,2007,28(3):898-910.
[6]  NobisC,LenzB.Communicationandmobilitybehaviour:Atrendandpanelanalysisofthecorrelationbetweenmobilephoneuseandmobility.JournalofTransportGeography,2009,17(2):93-103.
[7]  AhasR,AasaA,SilmSetal.Dailyrhythmsofsuburbancommuters'movementsintheTallinnmetropolitanarea:Casestudywithmobilepositioningdata.TransportationResearchPartC:EmergingTechnologies,2010,18(1):45-54.
[8]  GonzálezMC,HidalgoCA,BarabásiA.Understandingindividualhumanmobilitypatterns.Nature,2008,453(7196):779-782.
[9]  PiórkowskiM.Samplingurbanmobilitythroughon-linerepositoriesofGPStracks//Proceedingsofthe1stACMInternationalWorkshoponHotTopicsofPlanet-ScaleMobilityMeasurements,22-22June2009,Kraków,Poland.
[10]  CandiaJ,GonzálezMC,WangPetal.Uncoveringindividualandcollectivehumandynamicsfrommobilephonerecords.JournalofPhysicsA:MathematicalandTheoretical,2008,41(22):224015.
[11]  SevtsukA,RattiC.Doesurbanmobilityhaveadailyroutine?Learningfromtheaggregatedataofmobilenetworks.JournalofUrbanTechnology,2010,17(1):41-60.
[12]  SabbataSD,MizzaroS,VassenaL.Wheredoyourolltoday?Trajectorypredictionbyspacerankandphysicsmodels//GartnerG,RehrlK.LocationBasedServicesandTelecartographyII.Heidelberg:Springer,2009:63-78.
[13]  RattiC,PulselliRM,WilliamsSetal.MobileLandscapes:usinglocationdatafromcellphonesforurbananalysis.EnvironmentandPlanningB:PlanningandDesign,2006,33(5):727-748.
[14]  HuangW,DongZ,ZhaoNetal.Anchorpointsseekingoflargeurbancrowdbasedonthemobilebillingdata//CaoL,FengY,ZhongJ.AdvancedDataMiningandApplications.Heidelberg:Springer,2010:346-257.
[15]  CalabreseF,ColonnaM,LovisoloPetal.Real-timeurbanmonitoringusingcellphones:AcasestudyinRome.IEEETransactionsonIntelligentTransportationSystems,2011,12(1):141-151.
[16]  StrachanS,WilliamsonJ,Murray-SmithR.ShowmethewaytoMonteCarlo:Density-basedtrajectorynavigation//ProceedingsoftheSIGCHIConferenceonHumanFactorsinComputingSystems.NewYork,NY,USA:ACM,2007:1245-1248.
[17]  JiangChengsheng,WangJinfeng,CaoZhidong.Areviewofgeo-spatialsamplingtheory.ActaGeographicaSinica.2009,64(3):368-380.[姜成晟,王劲峰,曹志冬.地理空间抽样理论研究综述.地理学报,2009,64(3):368-380.]
[18]  CaoZhidong,WangJinfeng,LiLianfaetal.Strataefficiencyandoptimizationstrategyofstratifiedsamplingonspatialpopulation.ProgressinGeography,2008,27(3):152-160.[曹志冬,王劲峰,李连发等.地理空间中不同分层抽样方式的分层效率与优化策略.地理科学进展,2008,27(3):152-160.]
[19]  ToblerWR.AcomputermoviesimulatingurbangrowthintheDetroitRegion.EconomicGeography,1970,46:234-240.
[20]  JiangB.Streethierarchies:Aminorityofstreetsaccountforamajorityoftrafficflow.Int.J.Geogr.Inf.Sci.,2009,23(8):1033-1048.
[21]  MarkkulaJ.Dynamicgeographicpersonaldata:Newopportunityandchallengeintroducedbythelocation-awaremobilenetworks.ClusterComputing,2001(4):369-377.
[22]  WangJinfeng,JiangChengsheng,LiLianfaetal.SpaceSamplingandStatisticalInference.Beijing:SciencePress,2009.[王劲峰,姜成晟,李连发等.空间抽样与统计推断.北京:科学出版社,2009.]
[23]  WangJinfeng,ReisBY,HuMaoguietal.Areadiseaseestimationbasedonsentinelhospitalrecords.PLoSONE,2011,6(8):e23428.
[24]  LiuYu,XiaoYu,GaoSongetal.Areviewofhumanmobilityresearchbasedonlocationawaredevices.GeographyandGeo-InformationScience,2011,27(4):8-13.[刘瑜,肖昱,高松等.基于位置感知设备的人类移动研究综述.地理与地理信息科学,2011,27(4):8-13.]
[25]  ChaiYanwei,ZhaoYing,MaXiujunetal.Mobilepositioningmethodforspatial-temporalbehavioraldatacollectionanditsgeographicalapplications.ArealResearchandDevelopment,2010,29(6):1-7.[柴彦威,赵莹,马修军等.基于移动定位的行为数据采集与地理应用研究.地域研究与开发,2010,29(6):1-7.]
[26]  BrockmannD,TheisF.Moneycirculation,trackableitems,andtheemergenceofuniversalhumanmobilitypatterns.PervasiveComputing,IEEE,2008,7(4):28-35.
[27]  KangC,GaoS,LinXetal.Analyzingandgeo-visualizingindividualhumanmobilitypatternsusingmobilecallrecords//18thInternationalConferenceonGeoinformatics,18-20June2010,Beijing.
[28]  AhasR,AasaA,RooseAetal.Evaluatingpassivemobilepositioningdatafortourismsurveys:AnEstoniancasestudy.TourismManagement,2008,29(3):469-486.
[29]  SchwanenT,KwanM.TheInternet,mobilephoneandspace-timeconstraints.Geoforum,2008,39(3):1362-1377.
[30]  PhithakkitnukoonS,HoranontT,DiLorenzoGetal.Activity-awaremap:Identifyinghumandailyactivitypatternusingmobilephonedata.HumanBehaviorUnderstanding,LectureNotesinComputerScience,2010,6219:14-25.
[31]  YuanY,RaubalM,LiuY.Correlatingmobilephoneusageandtravelbehavior:AcasestudyofHarbin,China.Computers,EnvironmentandUrbanSystems,2012,36(2):118-130.
[32]  SongC,QuZ,BlummNetal.Limitsofpredictabilityinhumanmobility.Science,2010,327(5968):1018-1021.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133