PloS one, 2018-04, Vol.13 (4), p.e0195714-e0195714
2018
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Details
- Autor(en) / Beteiligte
- Titel
- Identifying seasonal mobility profiles from anonymized and aggregated mobile phone data. Application in food security
- Ist Teil von
- PloS one, 2018-04, Vol.13 (4), p.e0195714-e0195714
- Ort / Verlag
- United States: Public Library of Science
- Erscheinungsjahr
- 2018
- Quelle
- Free E-Journal (出版社公開部分のみ）
- Beschreibungen/Notizen
- 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-secured mobility characterization. The application of the proposed framework is illustrated by analyzing fully anonymized data on human mobility from mobile phones in Senegal at the arrondissement level over a calendar year. The analysis of monthly mobility patterns at the livelihood zone resolution resulted in the discovery and characterization of seasonal mobility profiles related with economic activities, agricultural calendars and rainfalls. The use of these mobility profiles could support the timely identification of mobility changes in vulnerable populations in response to external shocks (such as natural disasters, civil conflicts or sudden increases of food prices) to monitor food security.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 1932-6203eISSN: 1932-6203DOI: 10.1371/journal.pone.0195714Titel-ID: cdi_plos_journals_2031411976
- Format
- –
- Schlagworte
- Agricultural economics, Agronomy, Biology and Life Sciences, Cell Phone - statistics & numerical data, Cell phones, Cellular telephones, Clustering, Computer and Information Sciences, Computer security, Cybersecurity, Data Anonymization, Data Interpretation, Statistical, Data processing, Demographic aspects, Earth Sciences, Emigration and Immigration - statistics & numerical data, Employment - statistics & numerical data, Engineering and Technology, Feasibility Studies, Food, Food security, Food supply, Food Supply - statistics & numerical data, Human Migration - statistics & numerical data, Humans, Mobility, Natural disasters, People and Places, Physical Sciences, Preservation, Seasons, Social Sciences, Trajectories, Wireless telephones