African Organizational Communication (Media/Social) | 02 March 2001
GIS-Assisted Community-Based Disaster Risk Reduction in Mozambique Coastal Communities: A Two-Year Analysis
M, a, k, o, n, i, N, g, w, e, n, y, a, ,, C, h, i, k, w, a, n, d, a, C, h, i, r, i, n, o, ,, N, k, o, s, i, M, a, b, o, t, e
Abstract
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 $\hat{\theta}=argmin<em>{\theta}\sum</em>i\ell(y<em>i,f</em>\theta(x<em>i))+\lambda\lVert\theta\rVert</em>2^2$, with performance evaluated using out-of-sample error.