JOURNAL ARTICLE

Risk Assessment of Building Fire Evacuation with Stochastic Obstructed Emergency Exit

Abstract

Fire evacuation simulation for buildings has greatly enhance the safety of escaping efficiently and give valuable insight for better layout permutation. The aim of this article is to evaluate the safety & risk of fire evacuation given a random chance that emergency exits are obstructed. A case study of evacuation pathway was evaluated against fire safety codes and practices in Malaysia. AnyLogic was used to simulate fire evacuation, assuming peak occupancy, with three randomly obstructed emergency exit pathways. Results show that though the floorplan fulfils safety criteria, the risk was high which requires adjustment. Monte Carlo analysis indicates the performance of risk of obstruction of all three emergency exits at one percent probability. Risk assessment points to the need of a minimum number of emergency exits by floor area per exit basis and a reconfiguration of floorplan layout.

Keywords:
Floorplan Emergency evacuation Crash Computer science Control reconfiguration Monte Carlo method Transport engineering Engineering Risk analysis (engineering) Mathematics Business Statistics

Metrics

9
Cited By
0.88
FWCI (Field Weighted Citation Impact)
18
Refs
0.75
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Evacuation and Crowd Dynamics
Physical Sciences →  Engineering →  Ocean Engineering
Underground infrastructure and sustainability
Physical Sciences →  Engineering →  Building and Construction
Transportation Planning and Optimization
Social Sciences →  Social Sciences →  Transportation

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