Using mobile phone data analysis for the estimation of daily urban dynamics

Danya Bachir; Vincent Gauthier; Mounim El Yacoubi; Ghazaleh Khodabandelou

Using mobile phone data analysis for the estimation of daily urban dynamics

Danya Bachir ^{1, 2, 3} Vincent Gauthier ^{4, 1, 5} Mounim El Yacoubi ^{6, 1, 2} Ghazaleh Khodabandelou ¹

1 SAMOVAR - Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux

2 EPH - Département Electronique et Physique

3 IRT SystemX - IRT SystemX

4 R3S-SAMOVAR - Réseaux, Systèmes, Services, Sécurité

SAMOVAR - Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux

5 RST - Département Réseaux et Services de Télécommunications

6 ARMEDIA-SAMOVAR - ARMEDIA

SAMOVAR - Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux

Abstract : The estimation of population dynamics has become a crucial public transport planning issue. The scope of this paper is the estimation of time variant population densities at fine-grained level using geolocalized mobile phone (MP) data. After preprocessing anonymized aggregated MP data of the complete Greater Paris area, we apply spatial mapping methods to project the MPs locations from network cells to census blocks. Prior to the calibration of MP densities with national census population (static model), we estimate blocks land-use to filter out noisy areas. Our loglinear regression model achieves high performance regarding several metrics, and our hybrid mapping method grants competitive performance with respect to the state of the art. Following our static parameters interpretation, we provide a novel relation for daily population dynamics. We validate this dynamic model with sport events attendances

Keywords : Mobile Phone Data Big Data Data Analysis Machine learning Population Monitoring Urban dynamics

Document type :

Conference papers

Domain :

Engineering Sciences [physics] / Signal and Image processing

Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-01745767
Contributor : Médiathèque Télécom Sudparis & Institut Mines-Télécom Business School <>
Submitted on : Wednesday, March 28, 2018 - 3:13:41 PM
Last modification on : Monday, June 17, 2019 - 5:06:04 PM

Using mobile phone data analysis for the estimation of daily urban dynamics

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Using mobile phone data analysis for the estimation of daily urban dynamics

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