Name Population Densities from Mobile Phone Metadata
Source Université catholique de Louvain, Northeastern University
Hyperlink to Source http://www.pnas.org/content/111/45/15888.full
Description This study demonstrates how data collected by mobile phone network operators can cost-effectively provide accurate and detailed maps of population distribution over national scales and any time period while guaranteeing phone users’ privacy. Knowing where people are is critical for accurate impact assessments and intervention planning, particularly those focused on population health, food security, climate change, conflicts, and natural disasters. This study demonstrates how data collected by mobile phone network operators can cost-effectively provide accurate and detailed maps of population distribution over national scales and any time period while guaranteeing phone users’ privacy. The methods outlined may be applied to estimate human population densities in low-income countries where data on population distributions may be scarce, outdated, and unreliable, or to estimate temporal variations in population density. The work highlights how facilitating access to anonymized mobile phone data might enable fast and cheap production of population maps in emergency and data-scarce situations.
Long description
Lead Institution Université catholique de Louvain, Northeastern University
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Partners Université Libre de Bruxelles, Université de Lorraine, University of Louisville, University of Southampton, National Institutes of Health, Flowminder
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Info link http://www.pnas.org/content/111/45/15888.full
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Type Research
Potential for reuse High
Open source N/A
Open Source URL
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Plug & Play N/A
Outputs compatible with indicators from Official Statistics N/A
Status Pilot
Country use cases
Target Groups
Statistical Institute
Other Government Agencies
Sectors where the innovation can be applied
  • Areas of technological innovation
  • Log Data
  • ,
  • Remote Sensing
  • Areas of management practice innovations
    Use of Alternative Data Sources
    Areas of institutional process innovations
    Case Study URL with Public Sector Participation
    Case Study Description
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    Good practices displayed
    Created On 2014-04-12
    Updated On 2014-04-12
    Status Published
    Framework
    Develop capability improvements
    Manage consumers
    Build




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