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DISTRESS SIGNALS CONFERENCE ON ACTIONS FOR CLIMATE-INDUCED MIGRATION HAMBURG, GERMANY, 17 JUNE 2013 Can mobile phones be used to map climate change- induced migration? Stephen Roddick International Centre for Climate Change and Development, Dhaka, Bangladesh
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“Human mobility extends in the spatial domain from local travel to international migration, and in the temporal dimension from short-term stays to permanent relocations... Classification and measurement of such phenomena is inevitably complex.” Martin Bell and Salut Muhidin, ‘Cross National Comparisons of Internal Migration’ UNDP, 2009
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1.Manual collection and communication 2.Crowd-sourcing via SMS 3.Smart phone applications a.GPS mapping b.Bluetooth scanning 4.Statistical analysis of charging data records (CDRs) How can we use mobile phones to map human mobility?
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Time of call Duration Sending phone Receiving phone Sending tower Receiving tower Type of call Statistical analysis of Charging Data Records (CDRs)
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Humans are predictable Home Work Friends & Family
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Short-term: flooding and cyclones Meso-term: Changing weather patterns Long term impacts: sea-level rise agriculture, fisheries, health How do climate change impacts affect mobility patterns? 20%20% 20%20%
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20%20% 20%20% How can we use mobile data to map climate change-related migration? 20%20% 20%20% 20%20% 20%20% 20%20% 20%20% 20%20% 20%20% Compare differentially affected populations Scale-up to community-level Radius of gyration Monitor mobility patterns over time 2 Years5 Years10 Years
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1.Differential ownership and usage 2.Limitations of the methodology 3.Obtaining data 4.Privacy 1.Scale 2.Accuracy 3.Building on existing data sources 4.Forecasting Opportunities Challenges
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THANK YOU Stephen Roddick steveroddick@gmail.com International Centre for Climate Change and Development (ICCCAD), Dhaka, Bangladesh Dr. David Wrathall david.wrathall@gmail.com Institute for Environment and Human Security at UN University (UNU-EHS), Bonn, Germany
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