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Increasing resilience to catastrophic near-field tsunamis: systems for capturing, modelling, and assessing vertical evacuation practices

Author

Listed:
  • Jorge León

    (Universidad Técnica Federico Santa María)

  • Alonso Ogueda

    (George Mason University)

  • Alejandra Gubler

    (Research Center for Integrated Disaster Risk Management (CIGIDEN))

  • Patricio Catalán

    (Universidad Técnica Federico Santa María)

  • Matías Correa

    (Universidad Técnica Federico Santa María)

  • Javiera Castañeda

    (Research Center for Integrated Disaster Risk Management (CIGIDEN))

  • Gianni Beninati

    (Universidad Técnica Federico Santa María)

Abstract

Tsunami vertical evacuation (TVE) buildings have the potential to save many human lives in countries exposed to near-field tsunamis. Up to now, TVE research has examined three main topics separately: shelter siting, building benchmarks, and decision-making by evacuees. This study aims to integrate these topics to develop more comprehensive TVE planning frameworks. To this, we examined a catastrophic tsunami evacuation scenario in Viña del Mar, Chile. First, we developed an agent-based model to estimate potential human fatalities in the case of a fully horizontal evacuation. Second, we designed an immersive VR experience, which we applied to a sample of 151 people in the city to collect their potential TVE decision-making, which allowed us to identify 11 buildings that could serve as TVE shelters. Lastly, we incorporated this new evacuation system into the former agent-based model to assess the potential impact of vertical evacuation. Our findings showed that while fatalities ranged from 50 to 72% of the population in the fully horizontal scenario, the inclusion of TVE buildings might decrease human losses by 6.5–13.7%. Complementary questionnaires administered to participants highlighted their lack of previous experience in real-world evacuations (only 45.69% had previously experienced a tsunami-related evacuation process), as well as their knowledge about how to proceed in the case of a future emergency (62.91% declared that they knew where to go during an evacuation).

Suggested Citation

  • Jorge León & Alonso Ogueda & Alejandra Gubler & Patricio Catalán & Matías Correa & Javiera Castañeda & Gianni Beninati, 2024. "Increasing resilience to catastrophic near-field tsunamis: systems for capturing, modelling, and assessing vertical evacuation practices," 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. 120(10), pages 9135-9161, August.
  • Handle: RePEc:spr:nathaz:v:120:y:2024:i:10:d:10.1007_s11069-022-05732-x
    DOI: 10.1007/s11069-022-05732-x
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    References listed on IDEAS

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    1. T. Sugimoto & H. Murakami & Y. Kozuki & K. Nishikawa & T. Shimada, 2003. "A Human Damage Prediction Method for Tsunami Disasters Incorporating Evacuation Activities," 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. 29(3), pages 587-602, July.
    2. Sarah Hall & Jessica Pettersson & William Meservy & Ron Harris & Diannitta Agustinawati & Jennie Olson & Allayna McFarlane, 2017. "Awareness of tsunami natural warning signs and intended evacuation behaviors in Java, Indonesia," 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. 89(1), pages 473-496, October.
    3. Sangki Park & John van de Lindt & Rakesh Gupta & Daniel Cox, 2012. "Method to determine the locations of tsunami vertical evacuation shelters," 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. 63(2), pages 891-908, September.
    4. Alireza Mostafizi & Haizhong Wang & Dan Cox & Lori A. Cramer & Shangjia Dong, 2017. "Agent-based tsunami evacuation modeling of unplanned network disruptions for evidence-driven resource allocation and retrofitting strategies," 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. 88(3), pages 1347-1372, September.
    5. Zhenqiang Wang & Gaofeng Jia, 2021. "A novel agent-based model for tsunami evacuation simulation and risk assessment," 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. 105(2), pages 2045-2071, January.
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