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

Author

Listed:
  • Ma. Bernadeth B. Lim

    (Sirindhorn International Institute of Technology, Thammasat University)

  • Hector R. Lim

    (Sirindhorn International Institute of Technology, Thammasat University)

  • Mongkut Piantanakulchai

    (Sirindhorn International Institute of Technology, Thammasat University)

  • Francis Aldrine Uy

    (Mapua Institute of Technology)

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.

Suggested Citation

  • Ma. Bernadeth B. Lim & Hector R. Lim & Mongkut Piantanakulchai & Francis Aldrine 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:d:10.1007_s11069-015-2038-6
    DOI: 10.1007/s11069-015-2038-6
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    References listed on IDEAS

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    1. Scott, Darren M. & Kanaroglou, Pavlos S., 2002. "An activity-episode generation model that captures interactions between household heads: development and empirical analysis," Transportation Research Part B: Methodological, Elsevier, vol. 36(10), pages 875-896, December.
    2. Darren Lumbroso & Karin Stone & Freddy Vinet, 2011. "An assessment of flood emergency plans in England and Wales, France and the Netherlands," 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. 58(1), pages 341-363, July.
    3. Yu-Ting Hsu & Srinivas Peeta, 2013. "An aggregate approach to model evacuee behavior for no-notice evacuation operations," Transportation, Springer, vol. 40(3), pages 671-696, May.
    4. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    5. Yuner Luo & Rajib Shaw & Hanliang Lin & Jonas Joerin, 2014. "Erratum to: Assessing response behaviour of debris-flows affected communities in Kaohsiung, Taiwan," 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. 74(3), pages 2311-2311, December.
    6. David Brommer & Jason Senkbeil, 2010. "Pre-landfall evacuee perception of the meteorological hazards associated with Hurricane Gustav," 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. 55(2), pages 353-369, November.
    7. Samanthi Durage & Lina Kattan & S. Wirasinghe & Janaka Ruwanpura, 2014. "Evacuation behaviour of households and drivers during a tornado," 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. 71(3), pages 1495-1517, April.
    8. Benjamin Campion & Jörg-Friedhelm Venzke, 2013. "Rainfall variability, floods and adaptations of the urban poor to flooding in Kumasi, Ghana," 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. 65(3), pages 1895-1911, February.
    9. Zhang, Junyi & Kuwano, Masashi & Lee, Backjin & Fujiwara, Akimasa, 2009. "Modeling household discrete choice behavior incorporating heterogeneous group decision-making mechanisms," Transportation Research Part B: Methodological, Elsevier, vol. 43(2), pages 230-250, February.
    10. Taha Zaghdoudi, 2013. "Bank Failure Prediction with Logistic Regression," International Journal of Economics and Financial Issues, Econjournals, vol. 3(2), pages 537-543.
    11. John C. Whitehead & Bob Edwards & Marieke Van Willigen & John R. Maiolo & Kenneth Wilson & Kevin T. Smith, 2000. "“Heading for Higher Ground: Factors Affecting Real and Hypothetical Hurricane Evacuation Behavior,”," Working Papers 0006, East Carolina University, Department of Economics.
    12. Yuner Luo & Rajib Shaw & Hanliang Lin & Jonas Joerin, 2014. "Assessing response behaviour of debris-flows affected communities in Kaohsiung, Taiwan," 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. 74(3), pages 1429-1448, December.
    13. Ng, ManWo & Behr, Joshua & Diaz, Rafael, 2014. "Unraveling the evacuation behavior of the medically fragile population: Findings from hurricane Irene," Transportation Research Part A: Policy and Practice, Elsevier, vol. 64(C), pages 122-134.
    14. Adam Pel & Michiel Bliemer & Serge Hoogendoorn, 2012. "A review on travel behaviour modelling in dynamic traffic simulation models for evacuations," Transportation, Springer, vol. 39(1), pages 97-123, January.
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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.
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    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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