Abstract
The newly released Orange D4D mobile phone data base provides new insights into the use of mobile technology in a developing country. Here we perform a series of spatial data analyses that reveal important geographic aspects of mobile phone use in Cote d’Ivoire. We first map the locations of base stations with respect to the population distribution and the number and duration of calls at each base station. On this basis, we estimate the energy consumed by the mobile phone network. Finally, we perform an analysis of inter-city mobility, and identify high-traffic roads in the country.
| Original language | English (US) |
|---|---|
| Article number | 3 |
| Journal | EPJ Data Science |
| Volume | 3 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2014 |
Funding
We thank Orange for making the D4D data set available. VS and RL acknowledge financial support from FNRS. MTG is grateful for financial support from the University of Bristol and the EPSRC Building Global Engagements in Research (BGER) grant. He also acknowledges support from the European Commission (project number FP7-PEOPLE-2012-IEF 6-456412013). This paper presents research results of the Belgian Network DYSCO (Dynamical Systems, Control, and Optimization), funded by the Interuniversity Attraction Poles Programme, initiated by the Belgian State, Science Policy Office. HY acknowledges the support by grants from the Rockefeller Foundation and the James McDonnell Foundation (no. 220020195).
Keywords
- Carbon footprint
- Cote d’Ivoire
- Human mobility
- Mobile phone
ASJC Scopus subject areas
- Modeling and Simulation
- Computer Science Applications
- Computational Mathematics
