大数据英文演讲-Big-Data-presention.pptx

大数据英文演讲-Big-Data-presention.pptx

《大数据英文演讲-Big-Data-presention.pptx》由会员分享，可在线阅读，更多相关《大数据英文演讲-Big-Data-presention.pptx（23页珍藏版）》请在冰豆网上搜索。

Theresearchofbigdatainurbanstudiesandplanningpractices2017.12.22Group6Whatisbigdata?

BehaviordataacquisitionandanalysisSpatialanalysis1234Newmethodologieswithbigdata5OpenresearchissuesWhatisbigdata?

01DefinitionBigdataisdatasetsthataresovoluminousandcomplexthattraditionaldataprocessingapplicationsoftwareareinadequatetodealwiththem.Itschallengesincludecapturingdata,datastorage,analysis,search,sharing,transfer,visualization,updatingandinformationprivacy.CharacteristicTherearefourdimensionstobigdataknownasVolume,Variety,VelocityandVeracity.02BehaviordataacquisitionandanalysisRefinementofspatial-temporalinteractiondataRefinementofindividualattributivedataBackground添加标题Individualbehavioranditsspatio-temporalvariationaremainsubjectsandfoundationinurbanstudiesandplanningpractices.Thefollowingwillparticularlyintroducesomeperspectivesaboutthem,aswellasthemainapplicationfieldsofdifferenttypesofbigdata.GPSLogDatafromHandheldGPSDevices添加标题Mainapplicationfieldspatio-temporalcharacteristicsofindividualbehaviorGPSlogdataapplicationinurbanstudiesandplanningpracticescouldberegardedastheinitialstageofbigdataapplication.MobilePhoneData（MPD）添加标题Mainapplicationfield

（1）Travelfeaturesofdifferentgroupswithvarioustravelpurposes

（2）Jobs-housingsitesandchiefcommutingcorridors（3）Urbanspatio-temporalstructureanddynamicsMPDisthemostcommontypeofLBS（location-basedservices）data.SmartCardData（SCD）添加标题MainapplicationfieldTravelspatialdistribution;Traveldistance;Traveltime;Trafficflow;TrafficcommunitystructureSCDistracedfrompublictransport,likebuses,subways,etc.GPSDatafromFloatingBikesorCars（Taxis）MainapplicationfieldHotspots;commutingtrips;Landusefunction;Communitystructure;Shoppingcenterattractiveness.GPSDatafromFloatingCarsistracedfromvehiclesequippedwithGPS,andstoredintexttype,coveringlatitude&longitude,drivingperiod,speed,anddirection,etc.Transportationstructure;Travelpattern;Trafficvolumnsimulation.PointofInterests（POIs）Data添加标题MainapplicationfieldUrbanfunctiondivision;Boundariesofcities;BoundariesofcommercialdistrictPOIsdatapossessesanaffluentdatasource,includingcommercialfacilities,publicfacilities,touristspotsandtransportationfacilities,etc.VolunteeredGeographicInformation（VGI）添加标题MainapplicationfieldIndividualbehavior;Spatialpatternofspecificbehavior;Visualizationofsocialnetwork;Connectionintensitybetweencities;UrbanspatialstructureandfunctiondivisionVGIgeneratesfromemergenceofonlineserviceplatformprovidinggeographicallocation.SummaryTheacquisitionandanalysisofbehaviordataisthebasisofurbanstudiesandplanningpractices.Above-mentionedtypesofbigdatahavebeenwidlyusedinrelativestudies,andthesetypesofdatahaveobviousadvantagesanddisadvantages.Owingtothis,everytypeofbigdatahasitssuitableapplicationfield.03SpatialanalysisSpatialform,structureandperformance添加标题Formandstructureatregionalscale:

fromstatictotalamounttodynamicflowThenetworkconnectionbetweenmajorcitiesinChinabasedondatafromSinaWeiboFormandstructureatregionalscale:

mobility,complexityandambiguity

（1）Commutingandtransportstructure

（2）添加标题Urbangeneralspatialstructure（3）UrbanfunctiondivisionConnectionsbetweendifferentstopsinweekdaysinShenzhen（basedonSCD）IdentificationresultoffunctionalareasintheShanghaiCentralCitydistinguishedandvisualizedthesourceareasofindividualsinshoppingcentresSpatialperformanceofstructureatregionalandurbanscale04NewmethodologieswithbigdataSpatialsimulationisafieldofrelativelymaturity,itbasedonurbanmodelisoneofthemosttraditionalareasofurbanstudiesandplanningpracticesforbigdataapplication.Thismodelanalyzesthedemandsandbehaviorcharacteristicsofthegovernment,enterprisesandresidents.PublicparticipationisanewlyemergingareawhichhaswelldevelopmentprospectsTheapplicationofbigdatamaybetterreflecttheproblemsinregionalandurbandevelopmentandresidentsdemand,providinga添pla加tfo标rm题forpublicparticipationandcommunityplanning.Newmethodologieswithbigdata05OpenresearchissuesOpenresearchissuesBigdatahasbecomeaveryheatedissueinthefieldofurbanstudiesandplanningpractices.But,therearestillvariouskindsofdifficultiesofbigdataapplicationinthesefields,suchasthedif添ficu加lty标of题dataacquisition,privacyprotectionandcorrelationnotreflectingcausality.Therefore,westillshouldlayapositiveattitudetoit.Goodideas,meaningfulissues,innovativemethodsandnewtechniques,aswellasacombinationwithtraditionaldataandmethods,areallthedevelopmentdirectionofbigdataapplicationinfuture.THANKYOU2017.12.22