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Agent-based models of human response to natural hazards: systematic review of tsunami evacuation

Author

Listed:
  • Karel Mls

    (University of Hradec Králové)

  • Milan Kořínek

    (University of Hradec Králové)

  • Kamila Štekerová

    (University of Hradec Králové)

  • Petr Tučník

    (University of Hradec Králové)

  • Vladimír Bureš

    (University of Hradec Králové)

  • Pavel Čech

    (University of Hradec Králové)

  • Martina Husáková

    (University of Hradec Králové)

  • Peter Mikulecký

    (University of Hradec Králové)

  • Tomáš Nacházel

    (University of Hradec Králové)

  • Daniela Ponce

    (University of Hradec Králové)

  • Marek Zanker

    (University of Hradec Králové)

  • František Babič

    (Technical University of Košice)

  • Ioanna Triantafyllou

    (National & Kapodistrian University of Athens)

Abstract

This systematic review provides a comprehensive overview of tsunami evacuation models. The review covers scientific studies from the last decade (2012–2021) and is explicitly focused on models using an agent-based approach. The PRISMA methodology was used to analyze 171 selected papers, resulting in over 53 studies included in the detailed full-text analysis. This review is divided into two main parts: (1) a descriptive analysis of the presented models (focused on the modeling tools, validation, and software platform used, etc.), and (2) model analysis (e.g., model purpose, types of agents, input and output data, and modeled area). Special attention was given to the features of these models specifically associated with an agent-based approach. The results lead to the conclusion that the research domain of agent-based tsunami evacuation models is quite narrow and specialized, with a high degree of variability in the model attributes and properties. At the same time, the application of agent-specific methodologies, protocols, organizational paradigms, or standards is sparse.

Suggested Citation

  • Karel Mls & Milan Kořínek & Kamila Štekerová & Petr Tučník & Vladimír Bureš & Pavel Čech & Martina Husáková & Peter Mikulecký & Tomáš Nacházel & Daniela Ponce & Marek Zanker & František Babič & Ioanna, 2023. "Agent-based models of human response to natural hazards: systematic review of tsunami evacuation," 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. 115(3), pages 1887-1908, February.
  • Handle: RePEc:spr:nathaz:v:115:y:2023:i:3:d:10.1007_s11069-022-05643-x
    DOI: 10.1007/s11069-022-05643-x
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    References listed on IDEAS

    as
    1. Chen Chen & Alireza Mostafizi & Haizhong Wang & Dan Cox & Lori Cramer, 2022. "Evacuation behaviors in tsunami drills," 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. 112(1), pages 845-871, May.
    2. Sharad Sharma & Kola Ogunlana & David Scribner & Jock Grynovicki, 2018. "Modeling human behavior during emergency evacuation using intelligent agents: A multi-agent simulation approach," Information Systems Frontiers, Springer, vol. 20(4), pages 741-757, August.
    3. Eri Ito & Hiroshi Kawase & Shinichi Matsushima & Michinori Hatayama, 2020. "Tsunami evacuation simulation considering road blockage by collapsed buildings evaluated from predicted strong ground motion," 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. 101(3), pages 959-980, April.
    4. Ignacio A. Solís & Pedro Gazmuri, 2017. "Evaluation of the risk and the evacuation policy in the case of a tsunami in the city of Iquique, Chile," 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(1), pages 503-532, August.
    5. Cynthia Nikolai & Gregory Madey, 2009. "Tools of the Trade: A Survey of Various Agent Based Modeling Platforms," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(2), pages 1-2.
    6. 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.
    7. 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.
    8. Jule Thober & Birgit Müller & Jürgen Groeneveld & Volker Grimm, 2017. "Agent-Based Modelling of Social-Ecological Systems: Achievements, Challenges, and a Way Forward," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(2), pages 1-8.
    9. Naqvi, Asjad, 2017. "Deep Impact: Geo-Simulations as a Policy Toolkit for Natural Disasters," World Development, Elsevier, vol. 99(C), pages 395-418.
    10. Tomoyuki Takabatake & Tomoya Shibayama & Miguel Esteban & Hidenori Ishii, 2018. "Advanced casualty estimation based on tsunami evacuation intended behavior: case study at Yuigahama Beach, Kamakura, Japan," 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. 92(3), pages 1763-1788, July.
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