Agent-based models of human response to natural hazards: systematic review of tsunami evacuation
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F23%3A50019508" target="_blank" >RIV/62690094:18450/23:50019508 - isvavai.cz</a>
Výsledek na webu
<a href="https://link.springer.com/article/10.1007/s11069-022-05643-x" target="_blank" >https://link.springer.com/article/10.1007/s11069-022-05643-x</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s11069-022-05643-x" target="_blank" >10.1007/s11069-022-05643-x</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Agent-based models of human response to natural hazards: systematic review of tsunami evacuation
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Agent-based models of human response to natural hazards: systematic review of tsunami evacuation
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
<a href="/cs/project/LTC20020" target="_blank" >LTC20020: Consolidating research in tsunami hazard through the application of systems approach</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Natural hazards
ISSN
0921-030X
e-ISSN
1573-0840
Svazek periodika
115
Číslo periodika v rámci svazku
3
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
22
Strana od-do
1887-1908
Kód UT WoS článku
000864302100001
EID výsledku v databázi Scopus
2-s2.0-85139463096