大数据英文演讲-Big-Data-presention.pptx

1、The research of big data in urban studies and planning practices2017.12.22Group6Whatisbigdata?BehaviordataacquisitionandanalysisSpatialanalysis1234Newmethodologieswithbigdata5OpenresearchissuesWhatisbigdata?01DefinitionBig datais data sets that areso voluminous and complex that traditional data proc

2、essing application software are inadequate to deal with them.Its challenges include capturing data,data storage,analysis,search,sharing,transfer,visualization,updating and information privacy.CharacteristicThere are four dimensions to big data known as Volume,Variety,Velocity and Veracity.02Behavior

3、dataacquisitionandanalysisRefinementofspatial-temporalinteractiondataRefinementofindividualattributivedataBackground添加标题Individual behavior and its spatio-temporal variation are main subjects and foundation in urban studies and planning practices.The following will particularly introduce some perspe

4、ctives about them,as well as the main application fields of different types of big data.GPS Log Data from Handheld GPS Devices添加标题Main application fieldspatio-temporal characteristics of individual behaviorGPS log data application in urban studies and planning practices could be regarded as the init

5、ial stage of big data application.Mobile Phone Data(MPD)添加标题Main application field(1)Travel features of different groups with various travel purposes(2)Jobs-housing sites and chief commuting corridors(3)Urban spatio-temporal structure and dynamicsMPD is the most common type of LBS(location-based ser

6、vices)data.Smart Card Data(SCD)添加标题Main application fieldTravel spatial distribution;Travel distance;Travel time;Traffic flow;Traffic community structureSCD is traced from public transport,like buses,subways,etc.GPS Data from Floating Bikes or Cars(Taxis)Main application fieldHotspots;commuting trip

7、s;Land use function;Community structure;Shopping center attractiveness.GPS Data from Floating Cars is traced from vehicles equipped with GPS,and stored in text type,covering latitude&longitude,driving period,speed,and direction,etc.Transportation structure;Travel pattern;Traffic volumn simulation.Po

8、int of Interests(POIs)Data添加标题Main application fieldUrban function division;Boundaries of cities;Boundaries of commercial districtPOIs data possesses an affluent data source,including commercial facilities,public facilities,tourist spots and transportation facilities,etc.Volunteered Geographic Infor

9、mation(VGI)添加标题Main application fieldIndividual behavior;Spatial pattern of specific behavior;Visualization of social network;Connection intensity between cities;Urban spatial structure and function divisionVGI generates from emergence of online service platform providing geographical location.Summa

10、ryThe acquisition and analysis of behavior data is the basis of urban studies and planning practices.Above-mentioned types of big data have been widly used in relative studies,and these types of data have obvious advantages and disadvantages.Owing to this,every type of big data has its suitable appl

11、ication field.03SpatialanalysisSpatialform,structureandperformance添加标题Formandstructureatregionalscale:fromstatictotalamounttodynamicflowThe network connection between major cities in China based on data from Sina WeiboFormandstructureatregionalscale:mobility,complexityandambiguity(1)Commuting and tr

12、ansport structure(2)添加标题Urban general spatial structure(3)Urban function divisionConnections between different stops in weekdays in Shenzhen(based on SCD)Identification result of functional areas in the Shanghai Central Citydistinguished and visualized the source areas of individuals in shopping cen

13、tresSpatialperformanceofstructureatregionalandurbanscale04NewmethodologieswithbigdataSpatial simulation is a field of relatively maturity,it based on urban model is one of the most traditional areas of urban studies and planning practices for big data application.This model analyzes the demands and

14、behavior characteristics of the government,enterprises and residents.Public participation is a newly emerging area which has well development prospectsThe application of big data may better reflect the problems in regional and urban development and residents demand,providing a 添pla加tfo标rm题for public

15、 participation and community planning.Newmethodologieswithbigdata05OpenresearchissuesOpenresearchissuesBig data has become a very heated issue in the field of urban studies and planning practices.But,there are still various kinds of difficulties of big data application in these fields,such as the di

16、f 添ficu加lty标of题dataacquisition,privacy protection and correlation not reflecting causality.Therefore,we still should lay a positive attitude to it.Good ideas,meaningful issues,innovative methods and new techniques,as well as a combination with traditional data and methods,are all the development direction of big data application in future.THANKYOU2017.12.22