Next Article in Journal
Remote Sensing in Environmental Justice Research—A Review
Next Article in Special Issue
Spatial–Temporal Evolution and Regional Differentiation Features of Urbanization in China from 2003 to 2013
Previous Article in Journal
An Integrated Graphic Modeling System for Three-Dimensional Hydrodynamic and Water Quality Simulation in Lakes
Previous Article in Special Issue
Combining the Two-Layers PageRank Approach with the APA Centrality in Networks with Data
Open AccessArticle

Mobile Phone Indicators and Their Relation to the Socioeconomic Organisation of Cities

by 1,2,*,† and 3,4,†
1
CNRS, Centre Maurice Halbwachs, UMR 8097, Paris 75014, France
2
Centre for Advanced Spatial Analysis, University College London, London W1T 4TJ, UK
3
Open Lab, University of Newcastle, Newcastle upon Tyne NE4 5TG, UK
4
Orange Labs France, SENSe, Châtillon 92320, France
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
ISPRS Int. J. Geo-Inf. 2019, 8(1), 19; https://doi.org/10.3390/ijgi8010019
Received: 23 November 2018 / Revised: 21 December 2018 / Accepted: 7 January 2019 / Published: 9 January 2019
(This article belongs to the Special Issue Human-Centric Data Science for Urban Studies)
Thanks to the use of geolocated big data in computational social science research, the spatial and temporal heterogeneity of human activities is increasingly being revealed. Paired with smaller and more traditional data, this opens new ways of understanding how people act and move, and how these movements crystallise into the structural patterns observed by censuses. In this article we explore the convergence between mobile phone data and more traditional socioeconomic data from the national census in French cities. We extract mobile phone indicators from six months worth of Call Detail Records (CDR) data, while census and administrative data are used to characterize the socioeconomic organisation of French cities. We address various definitions of cities and investigate how they impact the statistical relationships between mobile phone indicators, such as the number of calls or the entropy of visited cell towers, and measures of economic organisation based on census data, such as the level of deprivation, inequality and segregation. Our findings show that some mobile phone indicators relate significantly with different socioeconomic organisation of cities. However, we show that relations are sensitive to the way cities are defined and delineated. In several cases, changing the city delineation rule can change the significance and even the sign of the correlation. In general, cities delineated in a restricted way (central cores only) exhibit traces of human activity which are less related to their socioeconomic organisation than cities delineated as metropolitan areas and dispersed urban regions. View Full-Text
Keywords: cities; interaction; mobility; correlation; mobile phone; deprivation; segregation; inequality cities; interaction; mobility; correlation; mobile phone; deprivation; segregation; inequality
Show Figures

Figure 1

MDPI and ACS Style

Cottineau, C.; Vanhoof, M. Mobile Phone Indicators and Their Relation to the Socioeconomic Organisation of Cities. ISPRS Int. J. Geo-Inf. 2019, 8, 19.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map

1
Back to TopTop