https://doi.org/10.1140/epjds/s13688-015-0040-6
Regular article
High resolution population estimates from telecommunications data
1
Department of Mathematics, University of California/San Diego, La Jolla, CA, 92093, USA
2
UC Institute on Global Conflict and Cooperation, La Jolla, CA, 92093, USA
3
Department of Electrical and Computer Engineering, University of California/San Diego, La Jolla, CA, 92093, USA
* e-mail: rexdouglass@gmail.com
Received:
9
September
2014
Accepted:
13
April
2015
Published online:
16
May
2015
Spatial variations in the distribution and composition of populations inform urban development, health-risk analyses, disaster relief, and more. Despite the broad relevance and importance of such data, acquiring local census estimates in a timely and accurate manner is challenging because population counts can change rapidly, are often politically charged, and suffer from logistical and administrative challenges. These limitations necessitate the development of alternative or complementary approaches to population mapping. In this paper we develop an explicit connection between telecommunications data and the underlying population distribution of Milan, Italy. We go on to test the scale invariance of this connection and use telecommunications data in conjunction with high-resolution census data to create easily updated and potentially real time population estimates in time and space.
Key words: cell phone network / gravity model / scale invariance
© The Author(s), 2015
