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A household-level flood evacuation decision model in Quezon City, Philippines

Author

Listed:
  • Ma. Lim
  • Hector Lim
  • Mongkut Piantanakulchai
  • Francis Uy

Abstract

Evacuation is one of the important preparedness measures in disaster management. It requires careful modeling and planning to minimize chaos and confusion during evacuation operations. The choice of decision-makers, whether to evacuate or stay in the area threatened by hazard, is an important aspect of evacuation travel behavior research. This is considered an essential input for evacuation modeling and planning. This study investigates the effects of various factors determining evacuation decision. A discrete choice model is proposed using the data collected through a face-to-face post-event survey from flood-affected households in Quezon City, Philippines. The model allows a choice among three alternatives of full, partial, and no evacuation. Results show that evacuation decision is determined by a combination of household characteristics and capacity-related factors (gender, educational level, presence of children, and number of years living in the residence, house ownership, number of house floor levels, type of house material), as well as hazard-related factors (distance from source of flood, level of flood damage, and source of warning). Findings in the study provide insights that can be considered by policy-makers in preparing for future evacuations. Appropriate programs can be designed to encourage full evacuation compliance of households that live nearest to the flood source and those living in houses with two or more floor levels who are more likely not to evacuate. Households with children can also be educated for full evacuation compliance since these households have higher probability to partially evacuate. Copyright Springer Science+Business Media Dordrecht 2016

Suggested Citation

  • Ma. Lim & Hector Lim & Mongkut Piantanakulchai & Francis Uy, 2016. "A household-level flood evacuation decision model in Quezon City, Philippines," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(3), pages 1539-1561, February.
    • Handle: RePEc:spr:nathaz:v:80:y:2016:i:3:p:1539-1561
    DOI: 10.1007/s11069-015-2038-6
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    References listed on IDEAS

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    3. Mondal Md Sanaul Haque, 2021. "Factors of Influence on Evacuation Behaviour: Survey Results from the Riverine Floodplain Communities in Bangladesh," Quaestiones Geographicae, Sciendo, vol. 40(3), pages 85-93, September.
    4. Dean Kyne & William Donner, 2018. "Kyne–Donner Model of Authority’s Recommendation and Hurricane Evacuation Decisions: A Study of Hypothetical Hurricane Event in the Rio Grande Valley, Texas," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 37(6), pages 897-922, December.
    5. Kaijing Xue & Shili Guo & Yi Liu & Shaoquan Liu & Dingde Xu, 2021. "Social Networks, Trust, and Disaster-Risk Perceptions of Rural Residents in a Multi-Disaster Environment: Evidence from Sichuan, China," IJERPH, MDPI, vol. 18(4), pages 1-25, February.
    6. Sherwin Roy Calumba & Monorom Rith & Alexis M. Fillone, 2021. "Earthquake Evacuation Choice and Management in a Developing Archipelagic Country—A Case Study of Surigao City, Philippines," Sustainability, MDPI, vol. 13(11), pages 1-24, May.

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