Dynamic population mapping using mobile phone data
Northeastern University · Fund for Scientific Research · +10 more institutions
Abstract
During the past few decades, technologies such as remote sensing, geographical information systems, and global positioning systems have transformed the way the distribution of human population is studied and modeled in space and time. However, the mapping of populations remains constrained by the logistics of censuses and surveys. Consequently, spatially detailed changes across scales of days, weeks, or months, or even year to year, are difficult to assess and limit the application of human population maps in situations in which timely information is required, such as disasters, conflicts, or epidemics. Mobile phones (MPs) now have an extremely high penetration rate across the globe, and analyzing the…
Citation impact
- FWCI
- 104.18
- Percentile
- 100%
- References
- 68
Authors
8- PDPierre DevilleCorresponding
Northeastern University, Fund for Scientific Research, UCLouvain
- CLCatherine Linard
Université Libre de Bruxelles, Fund for Scientific Research
- SMSamuel Martin
Centre National de la Recherche Scientifique, Centre de Recherche en Automatique de Nancy, Université de Lorraine
- MGMarius Gilbert
Université Libre de Bruxelles, Fund for Scientific Research
- FRForrest R. Stevens
University of Louisville
Topics & keywords
- Mobile phone
- Population
- Phone
- Computer science
- Scarcity
- Data science
- Geography
- Human dynamics
- Climate action