Author/s: Hector R. Lim Jr.1,*, Ma. Bernadeth B. Lim2, Rea Lyn E. Camposano3 and Sharon B. Singzon4
1 Assistant Professor, Department of Engineering Science, College of Engineering and Agro-Industrial Technology, University of the Philippines Los Baños, Laguna, Philippines
2 Assistant Professor, Department of Civil Engineering, College of Engineering and Agro-Industrial Technology, University of the Philippines Los Baños, Laguna, Philippines
3 Graduate Student, Department of Agricultural and Applied Economics, College of Economics and Management, University of the Philippines Los Baños, Laguna, Philippines
4 Associate Professor, College of Agriculture and Natural Sciences, Eastern Samar State University, Borongan, Eastern Samar, Philippines
*Correspondence: hrlim@up.edu.ph
Journal Issue: The Palawan Scientist, Volume 14(1), June 2022, pp. 66-74
ABSTRACT
The Philippines is frequently visited by strong and destructive typhoons, claiming hundreds of lives and extensive damage to the environment, and properties. To minimize negative impacts, understanding evacuee behavior for evacuation planning is essential. Determinants of household evacuation decision were investigated in this study using 164 valid observations obtained through face-to-face interviews with household heads in the affected area of Typhoon Hagupit in Barangay Maypangdan, Borongan City, Eastern Samar, Philippines. Correlation analysis and logistic regression were used to identify significant factors that affect household evacuation decisions. Results showed that the presence of children less than 10 years of age and elderly, house material, and house floor level affect the household evacuation decision. The insights from the results of this study are useful for policymakers and planners in preparing contingency plans for typhoon events at the barangay level. This may include ensuring the welfare of the vulnerable age groups, and strict implementation of building code for structural design and constructions.
Keywords: evacuation behavior, internal validation, LR-based test logistic regression, parameter estimation
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
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