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Studying Displacement After a Disaster Using Large Scale Survey Methods: Sumatra After the 2004 Tsunami
Clark Gray1, Elizabeth Frankenberg2, Thomas Gillespie3
1Department of Geography, University of North Carolina at Chapel Hill, Campus Box 3220, Chapel Hill NC 27599, .
Disaster migration patterns differ from typical migration. Post-tsunami data show that factors like age and gender predict movement from undamaged areas but not from damaged ones, challenging traditional vulnerability models.
Area of Science:
- Human-environment interaction
- Environmental sociology
- Disaster studies
Background:
- Measuring human vulnerability to environmental change and resultant mobility is challenging.
- Existing models struggle to interpret population movements across diverse disaster-affected regions.
Purpose of the Study:
- To analyze post-tsunami vulnerability and mobility in Indonesia using integrated data.
- To compare migration patterns between tsunami-damaged and undamaged areas.
- To identify predictors of displacement and their relationship with vulnerability.
Main Methods:
- Longitudinal population-based surveys of Indonesian coastal residents before and after the 2004 tsunami.
- Integration of survey data with satellite imagery.
- Multivariate statistical analyses to map and analyze vulnerability and migration.
Main Results:
- Post-tsunami migration was less selective than in other contexts.
- Gender and age predicted movement from undamaged areas but not damaged ones.
- Low socioeconomic status and education did not predict moving but influenced displacement destination (camp vs. private home).
Conclusions:
- Combined survey, satellite, and statistical methods offer new insights into disaster impacts and population well-being.
- Traditional vulnerability predictors may not apply uniformly in post-disaster contexts.
- This approach is broadly applicable to human-environment research and hypothesis testing.
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