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

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...

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Detalles Bibliográficos
Autores principales: Mls, Karel, Kořínek, Milan, Štekerová, Kamila, Tučník, Petr, Bureš, Vladimír, Čech, Pavel, Husáková, Martina, Mikulecký, Peter, Nacházel, Tomáš, Ponce, Daniela, Zanker, Marek, Babič, František, Triantafyllou, Ioanna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9533266/
https://www.ncbi.nlm.nih.gov/pubmed/36212893
http://dx.doi.org/10.1007/s11069-022-05643-x
Descripción
Sumario: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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11069-022-05643-x.