GIS-Assisted Community-Based Disaster Risk Reduction in Mozambique Coastal Communities: A Two-Year Analysis

The Mozambique coastal communities are vulnerable to natural disasters such as cyclones and floods. A mixed-methods approach combining GIS analysis with qualitative interviews was employed to evaluate CBDRR programme outcomes. The spatial distribution of hazard zones indicated a 20% reduction in disaster impacts compared to pre-GIS implementation levels, with significant variance across different communities. GIS-assisted CBDRR programmes have shown promise in enhancing community resilience against coastal disasters. Further research should explore scalability and cost-effectiveness of GIS technology in other Mozambican regions. Geographic Information System (GIS), Community-Based Disaster Risk Reduction, Mozambique Coastal Communities Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.