Identifying seasonal mobility profiles from anonymized and aggregated mobile phone data. Application in food security.

ABSTRACT: We propose a framework for the systematic analysis of mobile phone data to identify relevant mobility profiles in a population. The proposed framework allows finding distinct human mobility profiles based on the digital trace of mobile phone users characterized by a Matrix of Individual Trajectories (IT-Matrix). This matrix gathers a consistent and regularized description of individual trajectories that enables multi-scale representations along time and space, which can be used to extract aggregated indicators such as a dynamic multi-scale population count. Unsupervised clustering of individual trajectories generates mobility profiles (clusters of similar individual trajectories) which characterize relevant group behaviors preserving optimal aggregation levels for detailed and privacy-secu

SUBMITTER: Zufiria PJ 

PROVIDER: S-EPMC5919706 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature