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Estimating the Residential Population from Mobile Phone Data, an Initial Exploration

Author

Listed:
  • Benjamin Sakarovitch
  • Marie-Pierre de Bellefon
  • Pauline Givord
  • Maarten Vanhoof

Abstract

[eng] Many studies are focused on using data derived from mobile phones to construct statistical indicators. Mobile phone data have the advantage of providing information with both high spatial resolution and at high frequency, allowing applications such as measurements of the spatial or temporal details of population presence. Nonetheless, using mobile phone data to construct statistical indicators raises difficulties: data from a single operator are not represen-tative of the whole population and they often lack socio demographic detail, which limits their quality for many applications. This article is based on a database of mobile phone records from subscribers collected by a large French operator. It aims to offer a view on the potential, but also the problems posed by mobile phone data, specifically by illustrating how indicators of residen-tial populations can or can not be estimated from them.

Suggested Citation

  • Benjamin Sakarovitch & Marie-Pierre de Bellefon & Pauline Givord & Maarten Vanhoof, 2018. "Estimating the Residential Population from Mobile Phone Data, an Initial Exploration," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 505-506, pages 109-132.
    • Handle: RePEc:nse:ecosta:ecostat_2018_505-506_6
    DOI: https://doi.org/10.24187/ecostat.2018.505d.1968
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    Cited by:

    1. Zbucki Łukasz, 2022. "Variability of mobile phone network logins in the Białowieża National Park during the 2019 and 2020 summer holiday periods in the context of the COVID-19 pandemic," Miscellanea Geographica. Regional Studies on Development, Sciendo, vol. 26(4), pages 169-177, October.

    More about this item

    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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