The geography and carbon footprint of mobile phone use in cote d’ivoire

Vsevolod Salnikov; Daniel Schien; Hyejin Youn; Renaud Lambiotte; Michael T. Gastner

doi:10.1140/epjds21

The geography and carbon footprint of mobile phone use in cote d’ivoire

Vsevolod Salnikov, Daniel Schien, Hyejin Youn, Renaud Lambiotte, Michael T. Gastner^*

^*Corresponding author for this work

Management and Organizations

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

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	https://doi.org/10.1140/epjds21
State	Published - 2014

Keywords

Carbon footprint
Cote d’Ivoire
Human mobility
Mobile phone

ASJC Scopus subject areas

Modeling and Simulation
Computer Science Applications
Computational Mathematics

Access to Document

10.1140/epjds21

Fingerprint Dive into the research topics of 'The geography and carbon footprint of mobile phone use in cote d’ivoire'. Together they form a unique fingerprint.

Cite this

@article{c0040c074d5d45ddad60847e06e822fb,

title = "The geography and carbon footprint of mobile phone use in cote d{\textquoteright}ivoire",

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{\textquoteright}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.",

keywords = "Carbon footprint, Cote d{\textquoteright}Ivoire, Human mobility, Mobile phone",

author = "Vsevolod Salnikov and Daniel Schien and Hyejin Youn and Renaud Lambiotte and Gastner, {Michael T.}",

year = "2014",

doi = "10.1140/epjds21",

language = "English (US)",

volume = "3",

journal = "EPJ Data Science",

issn = "2193-1127",

publisher = "Springer Science + Business Media",

number = "1",

}

TY - JOUR

T1 - The geography and carbon footprint of mobile phone use in cote d’ivoire

AU - Salnikov, Vsevolod

AU - Schien, Daniel

AU - Youn, Hyejin

AU - Lambiotte, Renaud

AU - Gastner, Michael T.

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

KW - Carbon footprint

KW - Cote d’Ivoire

KW - Human mobility

KW - Mobile phone

UR - http://www.scopus.com/inward/record.url?scp=84933558146&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84933558146&partnerID=8YFLogxK

U2 - 10.1140/epjds21

DO - 10.1140/epjds21

M3 - Article

AN - SCOPUS:84933558146

VL - 3

JO - EPJ Data Science

JF - EPJ Data Science

SN - 2193-1127

IS - 1

M1 - 3

ER -