?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=The+use+of+in-app+data+to+drive+geodemographic+classification+of+activity+patterns&rft.creator=Mavrogeni%2C+Mikaella&rft.creator=Longley%2C+Paul&rft.creator=Van+Dijk%2C+Justin&rft.description=We+use+location+data+from+multiple+mobile+phone+applications+to+describe+daily%2C+weekly%2C+seasonal+and+annual+activity+patterns.+Geodemographics%2C+or+%E2%80%98the+analysis+of+people+by+where+they+live%E2%80%99%2C+provides+an+organising+framework%2C+extended+to+represent+the+ways+in+which+neighbourhood+residents+interact+with+workplaces%2C+recreational+and+leisure+destinations+and+transport+infrastructure.+We+evaluate+how+in-app+location+data+can+be+incorporated+into+geodemographic+analysis+to+better+understand+the+flux+of+activity+patterns+that+characterise+densely+populated+areas+throughout+the+day.+Limitations+and+net+benefits+of+in-app+location+data+are+critically+assessed+to+evaluate+the+ways+in+which+activity-based+geodemographics+are+robust%2C+effective+and+safe+to+use+when+characterising+the+population+at+large.&rft.subject=geodemographics%2C+big+data%2C+temporal+analytics%2C+in-app+data%2C+geospatial&rft.publisher=GIS+Research+UK+(GISRUK)&rft.date=2023-04-19&rft.type=Proceedings+paper&rft.language=eng&rft.source=+++++In%3A++Proceedings+of+the+31st+Conference+of+GIS+Research+UK+(GISRUK).++++GIS+Research+UK+(GISRUK)%3A+Glasgow%2C+UK.+(2023)+++++&rft.format=text&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F10193189%2F1%2FGISRUK_2023_Mavrogeni.pdf&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F10193189%2F&rft.rights=open