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SUMMARY:Human Mobility Characterization from Cellular Network Data - Ramó
 n Cáceres\, AT&T Labs
DTSTART:20120629T090000Z
DTEND:20120629T100000Z
UID:TALK36989@talks.cam.ac.uk
CONTACT:Andrew Rice
DESCRIPTION:An improved understanding of human mobility patterns can help 
 answer key questions in fields as varied as mobile computing\, urban plann
 ing\, ecology\, and epidemiology. Cellular telephone networks can shed lig
 ht on human movements cheaply\, frequently\, and on a large scale. We have
  developed techniques for analyzing anonymous cellphone locations to explo
 re how large populations move in metropolitan areas such as Los Angeles an
 d New York. Our results include measures of how far people travel each day
 \, estimates of carbon footprints due to home-to-work commutes\, maps of t
 he residential areas that contribute workers to a city\, and relative volu
 mes of traffic on commuting routes. We have validated our approach through
  comparisons against ground truth from volunteers and against independent 
 sources such as the US Census Bureau. Throughout our work\, we have taken 
 measures to preserve individual privacy. This talk presents an overview of
  our methodologies and findings.
LOCATION:FW26\, William Gates Building
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