scholarly journals Analysis of Evacuation Time for Vulnerable Individuals During Inundation of Lowland Areas

2021 ◽  
Vol 16 (5) ◽  
pp. 866-873
Author(s):  
Chang Yeon Bae ◽  
◽  
Kenichiro Kobayashi
Keyword(s):  
Simulation Model ◽  
Disaster Management ◽  
Evacuation Time ◽  
Geographic Factors ◽  
Evacuation Plans ◽  
Vulnerable People ◽  
Agent Simulation ◽  
Disaster Situation ◽  
Multi Agent ◽  
Increasing Demand

There is an increasing demand for establishing pre-emptive measures for disaster management. However, there is a lack of support systems available for vulnerable individuals living in disaster-prone regions in Korea. This study constructs a multi-agent simulation model to analyze the evacuation time for Dongnae district and Yeonje district in Busan, Korea. In disaster-prone regions, vulnerable people experience difficulties, such as, obtaining updated information about the disaster situation, and this reduces their evacuation speed. Additionally, there is a possibility that the evacuation speed, while evacuating vulnerable people, may decrease due to environmental and geographic factors, including the slope and elevation of the areas. Therefore, this section of the society requires special attention and policies that are different from those made for people who may not face such calamities and are physically abled. An analysis based on factors such as road slopes and delays in evacuation due to flooding, was conducted to formulate realistic evacuation plans for people who are vulnerable. The location of shelters in the case of flooding in Dongnae and Yeonje district, have been better identified. Furthermore, it was confirmed that the evacuation time could be reduced if wide-area evacuation is implemented. This study provides a base for developing suitable shelters and evacuation plans for disaster-prone regions.

scholarly journals Morality, protection, security and gain: lessons from a minimalistic, economically inspired multi-agent model

2020 ◽  
Vol 45 (1) ◽  
pp. 17-33
Author(s):  
Maciej Komosinski ◽  
Tomasz Żok
Keyword(s):  
Theoretical Analysis ◽  
Simulation Model ◽  
Continuous Variables ◽  
Agent Model ◽  
Agent Simulation ◽  
Multi Agent ◽  
Mathematical Equations

AbstractIn this work, we introduce a simple multi-agent simulation model with two roles of agents that correspond to moral and immoral attitudes. The model is given explicitly by a set of mathematical equations with continuous variables and is characterized by four parameters: morality, protection, and two efficiency parameters. Agents are free to adjust their roles to maximize individual gains. The model is analyzed theoretically to find conditions for its stability, i.e., the fractions of agents of both roles that lead to an equilibrium in their gains. A multi-agent simulation is also developed to verify the dynamics of the model for all values of morality and protection parameters, and to identify potential discrepancies with the theoretical analysis.

An Autonomous Multi-Agent Simulation Model for Acute Inflammatory Response

2013 ◽  
pp. 218-233 ◽  
Author(s):  
John Wu ◽  
David Ben-Arieh ◽  
Zhenzhen Shi
Keyword(s):  
Simulation Model ◽  
Focal Point ◽  
Therapeutic Interventions ◽  
Prognostic Indicators ◽  
Simulation Approach ◽  
Agent Based Model ◽  
Agent Based ◽  
Initial Stage ◽  
Agent Simulation ◽  
Multi Agent

This research proposes an agent-based simulation model combined with the strength of systemic dynamic mathematical model, providing a new modeling and simulation approach of the pathogenesis of AIR. AIR is the initial stage of a typical sepsis episode, often leading to severe sepsis or septic shocks. The process of AIR has been in the focal point affecting more than 750,000 patients annually in the United State alone. Based on the agent-based model presented herein, clinicians can predict the sepsis pathogenesis for patients using the prognostic indicators from the simulation results, planning the proper therapeutic interventions accordingly. Impressively, the modeling approach presented creates a friendly user-interface allowing physicians to visualize and capture the potential AIR progression patterns. Based on the computational studies, the simulated behavior of the agent–based model conforms to the mechanisms described by the system dynamics mathematical models established in previous research.

scholarly journals A multi-agent simulation model for spatial optimisation of manure allocation

2010 ◽  
Vol 53 (8) ◽  
pp. 1011-1030 ◽  
Author(s):  
Bart Van der Straeten ◽  
Jeroen Buysse ◽  
Stephan Nolte ◽  
Ludwig Lauwers ◽  
Dakerlia Claeys ◽  
...  
Keyword(s):  
Simulation Model ◽  
Agent Simulation ◽  
Spatial Optimisation ◽  
Multi Agent
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