Human Evacuation Modeling

Integrated IEW-TOPSIS and Fire Dynamics Simulation for Agent-Based Evacuation Modeling in Industrial Safety

Safety ◽

10.3390/safety7020047 ◽

2021 ◽

Vol 7 (2) ◽

pp. 47

Author(s):

Wattana Chanthakhot ◽

Kasin Ransikarbum

Keyword(s):

Emergency Evacuation ◽

Industrial Sector ◽

Industrial Safety ◽

Dynamics Simulation ◽

Entropy Weight ◽

Fire Dynamics ◽

Evacuation Simulation ◽

Evacuation Modeling ◽

Agent Based ◽

The Impact

Emergency events in the industrial sector have been increasingly reported during the past decade. However, studies that focus on emergency evacuation to improve industrial safety are still scarce. Existing evacuation-related studies also lack a perspective of fire assembly point’s analysis. In this research, location of assembly points is analyzed using the multi-criteria decision analysis (MCDA) technique based on the integrated information entropy weight (IEW) and techniques for order preference by similarity to ideal solution (TOPSIS) to support the fire evacuation plan. Next, we propose a novel simulation model that integrates fire dynamics simulation coupled with agent-based evacuation simulation to evaluate the impact of smoke and visibility from fire on evacuee behavior. Factors related to agent and building characteristics are examined for fire perception of evacuees, evacuees with physical disabilities, escape door width, fire location, and occupancy density. Then, the proposed model is applied to a case study of a home appliance factory in Chachoengsao, Thailand. Finally, results for the total evacuation time and the number of remaining occupants are statistically examined to suggest proper evacuation planning.

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An Agent-Based Simulation of Deep Foundation Pit Emergency Evacuation Modeling in the Presence of Collapse Disaster

Symmetry ◽

10.3390/sym10110581 ◽

2018 ◽

Vol 10 (11) ◽

pp. 581 ◽

Cited By ~ 6

Author(s):

Weilong Yang ◽

Yue Hu ◽

Cong Hu ◽

Mei Yang

Keyword(s):

Emergency Evacuation ◽

Influential Factors ◽

Deep Foundation ◽

Foundation Pit ◽

Evacuation Modeling ◽

Agent Based ◽

Deep Foundation Pit ◽

Decision Making System ◽

Escape Process ◽

Exit Distribution

With the gradual expansion of high buildings and underground spaces, deep foundation pits have been widely used in these engineering projects, but if they are not well-designed, safety problems occur. Proper deep foundation pit design requires proper exit distribution. However, calculating an adequate number of exit distributions for evaluation is difficult due to the numerous influential factors existing in the deep foundation pit environment. To this end, this paper presents a prototype of a decision-making system that uses agent-based modeling to simulate deep foundation pit evacuation in the presence of collapse disaster. By modeling the collapse occurrence process and agent escape process, an agent-based evacuation model is built, and a modified simulation-based particle swarm optimization algorithm is used to solve the optimization problem of exit distribution. Extensive experiments are conducted to verify the system, and the results show that the system provides a feasible framework for deep foundation pit evacuation.

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