Evacuation and Fire Simulation of Restaurant

• Main Authors: Ming-En Wu, 吳銘恩
• Other Authors: Cherng-Shing Lin
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/55v3x3

博士 === 元智大學 === 機械工程學系 === 106 === This study used regression theory to evaluate evacuation time, and validated the regression and simulation results. The case was the most serious incident in this country, which caused 64 deaths and 11 injuries. Regression analysis has been applied in numerous study areas, but not in research examining fire evacuation time or fire incident investigations. Simulations and experiments conducted to derive a reasonable evacuation time are challenging because of variables such as the occupants’ behavioral and psychological factors, floor area, occupant load per floor area, ignition source, firefighting equipment, and evacuation facilities. The study results showed that the response time was 80–120 s when the floor area was 200–500 m2. The current study suggests that regression analysis is suitable for calculating evacuation time and can be used and practiced as an assessment tool for fire science studies and fire incident investigation. An evacuation plan is proposed considering the following: 1) the time between fire onset and fire detection; 2) the time between fire detection and alarm activation; 3) the time between alarm activation and occupant response; 4) occupant travel time; and 5) occupant waiting time. The occupant response time consists of Points 1–3. Relevant data references were employed to conduct a regression analysis to determine the occupant travel and waiting times. The regression analysis is effective for predicting evacuation times for entertainment venues.