scholarly journals Evacuation Shelter Decision Method Considering Non-Cooperative Evacuee Behavior to Support the Disaster Weak

2021 ◽  
Vol 13 (9) ◽  
pp. 5106
Author(s):  
Tomoki Tanaka ◽  
Yuki Matsuda ◽  
Manato Fujimoto ◽  
Hirohiko Suwa ◽  
Keiichi Yasumoto
Keyword(s):  
Reduction Method ◽  
Fixed Rate ◽  
Selfish Behavior ◽  
Special Support ◽  
Decision Methods ◽  
Shelter Selection ◽  
Agent Simulation ◽  
Multi Agent ◽  
Conventional Methods ◽  
Evacuee Behavior

In disaster situations, special support for the disaster weak are crucial to keep them safe. Common evacuation strategies guide individuals to the shelters closest to their present locations. If evacuees are unevenly distributed across areas, some shelters will not be able to accommodate all arriving evacuees due to the limited capacity of shelters. To tackle this, the existing method decides the destinations for each evacuee considering congestion in disaster areas. However, this method does not consider the disaster weak and can be burdensome for them. Giving that the priority to the disaster weak for shelter decision would be effective to lessen burdens for them, but not all evacuees follow the guidance. When a shelter accepts arriving evacuees unconditionally, some evacuees are rejected, causing a delay in evacuation. If the disaster weak are rejected, the delay will be increased. In this paper, we propose two evacuation shelter decision methods considering the capacity of shelters, the disaster weak, and evacuees’ selfish behavior to realize quick evacuation for the disaster weak: (1) Fixed-rate Reduction Method (FRM), which reduces the assignment number of evacuees less than the capacity at the same percentage to all shelters. (2) Simulation-based Reduction Method (SRM), which reduces the assignment number to shelters that will be crowded based on simulation of an evacuation scenario. Then, these methods decide the destinations for evacuees, with the priority given to the disaster weak. To evaluate the efficiency of the proposed methods, we conducted multi-agent simulation assuming the scenario of evacuation of 30,000 visitors for the Gion Festival including the disaster weak. Through the simulation, we compared our methods with conventional methods including the nearest shelter selection method and the exiting method. As a result, our methods can reduce evacuation time of the disaster weak compared to conventional methods with sufficient cooperation by evacuees.

Multi-Agent Simulation of Emergency Evacuation on the Sidewalk

2012 ◽  
Vol 253-255 ◽  
pp. 2005-2008
Author(s):  
Peng Chen ◽  
Shun Ying Zhu ◽  
Liang Jie Xu ◽  
Xiao Feng Ma ◽  
Zhi Gang Du
Keyword(s):  
Emergency Evacuation ◽  
Agent Based ◽  
Proposed Model ◽  
Agent Simulation ◽  
Multi Agent ◽  
Bus Station ◽  
Evacuee Behavior ◽  
Walking Time ◽  
Statistical Area

Transportation evacuation study has become a research focus in recent years. This paper deals with emergency evacuation on the sidewalk using agent-based simulation. The current study develops a traffic simulator within NetLogo, an agent-based environment. Two sub-models are proposed including facility sub-model to describe global path planning of evacuee and evacuee sub-model to describe the evacuee behavior. We conducted simulations to investigate the effect of generation position of evacuees and the proportion of choosing bus on evacuation through a case study. Simulation results indicate that the proposed model can well address the interaction among evacuees with different evacuation modes, and if evacuees choosing bus evacuate near bus station and evacuees choosing walk evacuate away from bus station, then average walking time of evacuees and maximum density in statistical area are relatively small.

Modeling and Simulation on Knowledge Transfer among Unofficial Groups Based on Communication Networks

2013 ◽  
Vol 411-414 ◽  
pp. 145-151
Author(s):  
Xiao Dong Kou ◽  
Bo Zhang ◽  
Lin Yang
Keyword(s):  
Knowledge Transfer ◽  
Complex Networks ◽  
Communication Networks ◽  
Simulation Analysis ◽  
China National Knowledge Infrastructure ◽  
Simulation Research ◽  
Knowledge Infrastructure ◽  
Learned Societies ◽  
Agent Simulation ◽  
Multi Agent

With features of good interactivity and fast spread speed, unofficial networks play a significant role in knowledge transfer. Based on theories of communication networks and computational modeling method, the transfer situation of complex networks theory within Chinas learned societies, including its rising, spread and development, was modeled and then made simulation analysis by using the Blanche software. By comparing the analysis results with periodicals data from China National Knowledge Infrastructure, the effectiveness of the built model and the reliability of Blanche in multi-agent simulation research are all validated. Furthermore, the future development of complex networks theory in China is predicted as well.

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