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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 RoddickInternational Centre for Climate Change and Development, Dhaka, Bangladesh
“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
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?
Time of callDuration
Sending phoneReceiving phone
Sending towerReceiving tower
Type of call
Statistical analysis of Charging Data Records (CDRs)
Humans are predictable
• Home
• Work
• Friends & Family
• 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%
How can we use mobile data to map climate change-related migration?
20%
20%2
0%
20%
• Compare differentially affected populations
• Scale-up to community-level Radius of gyration
• Monitor mobility patterns over time
2 Years 5 Years 10 Years
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
OpportunitiesChallenges
THANK YOU
Stephen [email protected]
International Centre for Climate Change and Development (ICCCAD), Dhaka, Bangladesh
Dr. David [email protected]
Institute for Environment and Human Security
at UN University (UNU-EHS), Bonn, Germany
