Combining machine learning (ML) and participatory rural appraisal (PRA) for disaster risk preparedness (DRP): Evidence from the poorest region of Luzon, Philippines-Reference-Cited by-同舟云学术

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Combining machine learning (ML) and participatory rural appraisal (PRA) for disaster risk preparedness (DRP): Evidence from the poorest region of Luzon, Philippines

Published:2024-10 Issue: Volume:112 Page:104809
ISSN:2212-4209
Container-title:International Journal of Disaster Risk Reduction
language:en
Short-container-title:International Journal of Disaster Risk Reduction

Author:

Onsay Emmanuel A.^ORCID,Rabajante Jomar F.

Publisher

Elsevier BV

Reference110 articles.

1. The economic impacts of natural disasters: a review of models and empirical studies;Botzen;Rev. Environ. Econ. Pol.,2019

2. Global hotspots of climate-related disasters;Donatti;Int. J. Disaster Risk Reduc.,2024

3. Disaster preparedness for children and families: a critical review;Ronan;Curr. Psychiatr. Rep.,2015

4. Disaster Risk Reduction: Mitigation and Preparedness in Development and Emergency Programming;Twigg,2004

5. Unbreakable: Building the Resilience of the Poor in the Face of Natural Disasters;Hallegatte,2016

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