Using mobile network big data for land use classification CPRsouth 2015

Simple item page
dc.contributor.authorMadhawa, Kaushalya
dc.contributor.authorLokanathan, Sriganesh
dc.contributor.authorMaldeniya, Danaja
dc.contributor.authorSamarajiva, Rohan
dc.date.accessioned2015-09-29T14:55:35Z
dc.date.available2015-09-29T14:55:35Z
dc.date.issued2015-07
dc.description.abstractThe traditional way of generating insights on land use involve surveys and censuses, which are both infrequent as well as costly. This paper explores the potential of leveraging massive amounts of human mobile phone data to understand the spatiotemporal activity of mass populations, and by extension, provide a useful proxy for activity-based classification of land use. Understanding and monitoring land use characteristics is critical for urban planning. The study demonstrates possibilities for use of mobile network big data, and how it can be leveraged to infer three distinct land use characteristics: commercial/ economic, residential, and mixed-use.en
dc.formatTexten
dc.format.extent1 digital file (14 p. : ill.)en
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/10625/54677
dc.language.isoen
dc.publisherLIRNEasia, Colombo, LKen
dc.relation.urihttp://www.cprsouth.org/wp-content/uploads/2015/08/CPRSouth-2015_USING-MOBILE-NETWORK-BIG-DATA-FOR-LAND-USE-CLASSIFICATION_PP65_final.pdf
dc.subjectLAND USEen
dc.subjectMOBILE PHONESen
dc.subjectGEOGRAPHICAL REFERENCED DATAen
dc.subjectMODE OF DATA COLLECTIONen
dc.subjectBIG DATAen
dc.subjectDATA MININGen
dc.subjectURBAN PLANNINGen
dc.subjectSRI LANKAen
dc.subjectTRANSPORT PLANNINGen
dc.subjectCOLOMBOen
dc.subjectALGORITHMen
dc.subjectSOUTH ASIAen
dc.titleUsing mobile network big data for land use classification CPRsouth 2015en
dc.typeConference Paperen
idrc.dspace.accessOpen Accessen
idrc.project.componentnumber108008001
idrc.project.number108008
idrc.project.titleLeveraging Mobile Network Big Data for Developmental Policyen
idrc.recordsserver.bcsnumberIC01-11977-4
idrc.rims.adhocgroupIDRC SUPPORTEDen

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
IDL-54677.pdf
Size:
2.39 MB
Format:
Adobe Portable Document Format
Description:
Download

Collections

IDRC Research Results / Résultats de recherches du CRDI
2010-2019 / Années 2010-2019
Data / Données
Research Results (I&N) / Résultats de recherches (I&R)
Research Results (INASSA) / Résultats de recherche (IRAAS)
Research Results (Networked Economies) / Résultats de recherche (Économies en réseaux)