When Artificial Intelligence Meets Cultural Knowledge: Forecasting Storm Surge Risks, Predicting Disaster Preparedness, and Building Resilient Coastal Communities in the Philippines

This study assesses immediate storm surge impacts and community responses to Supertyphoon Pepito in Bicol, Philippines, and provides a comprehensive mixed-method analysis of storm surge risk and disaster risk preparedness. Drawing on 7,925 household observations from CBMS and 13 in-depth household narratives, we (1) document Pepito ’s localized impacts and community coping rooted in ecological cues, faith, and collective action; (2) forecast hazard, exposure, sensitivity, adaptive capacity, and vulnerability; (3) predict disaster risk preparedness; and (4) evaluate the lived experiences and resilience of the community. Methodologically, we integrate quantitative (PCA logistic regression, Random Forest, XGBoost, SVM, Decision Tree) and qualitative approaches (hermeneutic phenomenology, narrative inquiry, thematic analysis, and anthropology at home). PCA reduced seven domains (housing, utilities, assets, livelihood, education, demography, and environmental vulnerability) into categories used as predictors. Econometric results show significant positive associations between preparedness and housing quality (β = 0.24, p < 0.01), utilities (β ≈ 0.32, p < 0.01), assets and connectivity (β ≈ 0.45, p < 0.001), livelihood (farming β = 0.67; fishing β = 1.28; p < 0.001), and prior calamity exposure (β = 0.22, p < 0.01). Random Forest forecasts rank barangays by susceptibility as follows: Tagas (19.5, Very High), Telegrafo (18.8, High), and Sabang (18.0, High), while XGBoost yields the highest prediction accuracy (0.87–0.93). Qualitative findings emphasize hybrid readiness, where indigenous ecological indicators complement scientific warnings. We introduce three culturally grounded frameworks, ORAGON, ILAWOD, and TANDAYAG, that integrate science, culture, and community values in disaster management. ORAGON embodies Bicolano courage and collective adaptation, ILAWOD promotes a whole-of-community DRRM approach, and TANDAYAG reflects the spiritual belief that “the sea fights the typhoon.” We advocate culturally sensitive DRRM policies that integrate local knowledge with data-driven forecasts to strengthen community collaboration, government accountability, and sustainable environmental stewardship, prioritizing targeted infrastructure, early warning, and livelihood support interventions in high-risk barangays.

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Publication Details

Journal
Natural Hazards Research
Published
2026-02-01
DOI
https://doi.org/10.1016/j.nhres.2026.02.005
Primary Topic
Disaster Management and Resilience
Type
article
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article

When Artificial Intelligence Meets Cultural Knowledge: Forecasting Storm Surge Risks, Predicting Disaster Preparedness, and Building Resilient Coastal Communities in the Philippines

Juan Paulo R. Acopio, Emmanuel A. Onsay, Jenievi S. Asia, Girly B. Sumaculub et al.
Natural Hazards Research
Disaster Management and Resilience
article

When Artificial Intelligence Meets Cultural Knowledge: Forecasting Storm Surge Risks, Predicting Disaster Preparedness, and Building Resilient Coastal Communities in the Philippines

Juan Paulo R. Acopio, Emmanuel A. Onsay, Jenievi S. Asia, Girly B. Sumaculub, Jerald M. Velasco
article en

Abstract

This study assesses immediate storm surge impacts and community responses to Supertyphoon Pepito in Bicol, Philippines, and provides a comprehensive mixed-method analysis of storm surge risk and disaster risk preparedness. Drawing on 7,925 household observations from CBMS and 13 in-depth household narratives, we (1) document Pepito ’s localized impacts and community coping rooted in ecological cues, faith, and collective action; (2) forecast hazard, exposure, sensitivity, adaptive capacity, and vulnerability; (3) predict disaster risk preparedness; and (4) evaluate the lived experiences and resilience of the community. Methodologically, we integrate quantitative (PCA logistic regression, Random Forest, XGBoost, SVM, Decision Tree) and qualitative approaches (hermeneutic phenomenology, narrative inquiry, thematic analysis, and anthropology at home). PCA reduced seven domains (housing, utilities, assets, livelihood, education, demography, and environmental vulnerability) into categories used as predictors. Econometric results show significant positive associations between preparedness and housing quality (β = 0.24, p < 0.01), utilities (β ≈ 0.32, p < 0.01), assets and connectivity (β ≈ 0.45, p < 0.001), livelihood (farming β = 0.67; fishing β = 1.28; p < 0.001), and prior calamity exposure (β = 0.22, p < 0.01). Random Forest forecasts rank barangays by susceptibility as follows: Tagas (19.5, Very High), Telegrafo (18.8, High), and Sabang (18.0, High), while XGBoost yields the highest prediction accuracy (0.87–0.93). Qualitative findings emphasize hybrid readiness, where indigenous ecological indicators complement scientific warnings. We introduce three culturally grounded frameworks, ORAGON, ILAWOD, and TANDAYAG, that integrate science, culture, and community values in disaster management. ORAGON embodies Bicolano courage and collective adaptation, ILAWOD promotes a whole-of-community DRRM approach, and TANDAYAG reflects the spiritual belief that “the sea fights the typhoon.” We advocate culturally sensitive DRRM policies that integrate local knowledge with data-driven forecasts to strengthen community collaboration, government accountability, and sustainable environmental stewardship, prioritizing targeted infrastructure, early warning, and livelihood support interventions in high-risk barangays.

Natural Hazards Research
University of the Philippines Los Baños (PH), Partido State University (PH), Isabela State University (PH), Central Bicol State University of Agriculture (PH)
Climate action
Openalex Percentile: Top 53%
Disaster Management and Resilience
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