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Determinants of household flood evacuation mode choice in a developing country

Author

Listed:
  • Hector R. Lim

    (Thammasat University)

  • Ma. Bernadeth B. Lim

    (Thammasat University)

  • Mongkut Piantanakulchai

    (Thammasat University)

Abstract

Increasing frequency and severity of hazards that lead to devastating disaster impacts demand building substantial response capability. Evacuation is seen as one of the effective measures to avert disaster impacts. Planning and modeling of effective evacuation incorporate evacuation travel behavior. This study seeks to identify and understand the effects of determinants on households’ mode choice behavior in a developing country. Discrete choice models were estimated and validated from original data collected in selected sub-districts in Quezon City, Philippines. Findings revealed important determinants that can help evacuation planners and managers develop strategies for future flood evacuation operations. Determinants to evacuees who traveled on-foot include departure timing, destination type, age, gender and educational attainment of the head of the household, presence of small children, presence of health problem, house ownership, number of years living in the residence, vehicle ownership, source of warning, distance traveled to safety and cost of evacuation. Results of this study provide insights that can be useful for the government to plan for future evacuations. For instance, the government can encourage the households with a personal vehicle to use them in future evacuations, while providing for those without a personal vehicle and needing to travel longer distances. The government can also encourage households living in high flood risk areas to prepare household evacuation plans.

Suggested Citation

  • Hector R. Lim & Ma. Bernadeth B. Lim & Mongkut Piantanakulchai, 2016. "Determinants of household flood evacuation mode choice in a developing country," 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. 84(1), pages 507-532, October.
    • Handle: RePEc:spr:nathaz:v:84:y:2016:i:1:d:10.1007_s11069-016-2436-4
    DOI: 10.1007/s11069-016-2436-4
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    References listed on IDEAS

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    Cited by:

    1. Delin Liu & Xiaole Chang & Siyu Wu & Yongling Zhang & Nana Kong & Xiaobing Zhang, 2024. "Influencing Factors of Urban Public Flood Emergency Evacuation Decision Behavior Based on Protection Motivation Theory: An Example from Jiaozuo City, China," Sustainability, MDPI, vol. 16(13), pages 1-15, June.
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    3. Saudamini Das, 2019. "Evaluating climate change adaptation through evacuation decisions: a case study of cyclone management in India," Climatic Change, Springer, vol. 152(2), pages 291-305, January.
    4. Yi Li & Jianhua Gong & Lei Niu & Jun Sun, 2019. "A physically based spatiotemporal method of analyzing flood impacts on urban road networks," 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. 97(1), pages 121-137, May.
    5. Hao Chu & Jia Yu & Jiahong Wen & Min Yi & Yun Chen, 2019. "Emergency Evacuation Simulation and Management Optimization in Urban Residential Communities," Sustainability, MDPI, vol. 11(3), pages 1-25, February.
    6. Hafiz Suliman Munawar & Fahim Ullah & Siddra Qayyum & Sara Imran Khan & Mohammad Mojtahedi, 2021. "UAVs in Disaster Management: Application of Integrated Aerial Imagery and Convolutional Neural Network for Flood Detection," Sustainability, MDPI, vol. 13(14), pages 1-22, July.
    7. Zhihao Duan & Jinliang Xu & Han Ru & Yaping Dong & Xingliang Liu, 2019. "Analysis of Emergency Evacuation Modal Choice Behavior with Spatial Indicators: Case Study in Xi’an, China," Sustainability, MDPI, vol. 11(24), pages 1-10, December.

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