Post-Disaster Needs Assessment
The Post-Disaster Needs Assessment (PDNA) is a harmonized, government-led methodology for quantifying the effects of a disaster and costing a recovery program. Agreed in 2008 by the European Union, the World Bank (through GFDRR), and the United Nations Development Group, and codified in the PDNA Guidelines, it fuses two traditions: the ECLAC damage-and-loss accounting (DaLA), which values destroyed assets and the economic flows foregone during recovery, and a human-and-recovery-needs assessment, which captures impacts on people's lives, livelihoods, and access to services. Conducted sector by sector against a pre-disaster baseline, a PDNA produces a single consolidated picture of total disaster effects and feeds a costed Recovery Framework that increasingly embeds build-back-better resilience, giving governments and donors a common basis for mobilizing and prioritizing recovery resources.
Llegeix el mètode complet
Inicia la sessió amb un compte gratuït per llegir aquesta secció.
Mapa de mètodes
El veïnat de mètodes relacionats — seleccioneu un node per explorar-lo.
Fonts
- GFDRR, European Union, United Nations Development Group (2013). Post-Disaster Needs Assessments Guidelines, Volume A. Global Facility for Disaster Reduction and Recovery, World Bank. link ↗
- Mannakkara, S., Wilkinson, S., & Potangaroa, R. (2014). Build back better: implementation in Victorian bushfire reconstruction. Disasters, 38(2), 267-290. DOI: 10.1111/disa.12041 ↗
Com citar aquesta pàgina
ScholarGate. (2026, June 23). Post-Disaster Needs Assessment (PDNA). ScholarGate. https://scholargate.app/ca/disaster-studies/post-disaster-needs-assessment
Quin mètode?
Poseu aquest mètode al costat dels seus parents més pròxims i llegiu-los de costat a costat — la biblioteca disposa els llibres sobre la taula; la tria és vostra.
- Build Back Better Recovery EvaluationDisaster Studies↔ compara
- Disaster Recovery Curve AnalysisDisaster Studies↔ compara
- EM-DAT Disaster Database AnalysisDisaster Studies↔ compara
Citat per
Mètodes similars
Has vist cap problema en aquesta pàgina? Informa'n o suggereix una correcció →