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Explore how passageway configurations and human subject factors impact egress times and evacuation effectiveness. Learn how hatch operation briefings can enhance passenger survivability in emergencies.
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Factors That Control Egress Through Type-III Exits- The Cicada View - G. A. ‘Mac’ McLean, Ph.D. Cynthia L. Corbett, M.A. Protection and Survival Research Lab FAA Civil Aerospace Medical Institute
Clear Air Smoke Type III Type IV Type III Type IV PPBE 1.70 / 0.12 3.30 /0.15 2.00 / 0.09 3.30 / 0.16 No PPBE 1.40 / 0.08 2.90 / 0.16 1.70 / 0.08 2.60 / 0.12 CAMI 1989 Average Type-III and Type-IV Exit Crossing Times Time in sec = mean / std err. n = 20 per group in clear air / 80 per group in smoke
Access to Egress2001Study Highlights 2,544 subjects participated in 48 “naïve” evacuations • Each group completed another 3 evacuations (192 total) • 192 of those “naïve” subjects opened the exit • 4 independent variables • Naïve versus repeated measures data analyzed separately
Research Design Factors * 6” passageway is OBR configuration
Passageway Configuration • 6” dualpassageways withoutboard seat removed • 10” passageway with 14” aft seat encroachment • 13” passageway with 10” aft seat encroachment • 20” passageway with 5” aft seat encroachment
Conclusions • Exit preparation time was influenced little by passageway configuration - except for “outside” hatch disposal at the 10” configuration - which was dependent on ergonomic constraints. • Subjects can and will comply with hatch removal and disposal instructions when they understand what is expected. • Positive review of briefing cards by hatch operators allowed them to understand the intended method of hatch operation. • The results indicate that passengers can be more effective survivors if they are properly informed about emergency procedures.
Evacuation Effects Design Factors Effects on Individual Egress Time
Conclusions • Passageway configuration effects were small and generally correlated with the human subject effects. • Hatch removal and disposal effects were small and were resistant to interactions with passageway width. • Motivation effects were small and not qualitatively different from each other; there were no interactions between motivation level and the other design factors. • Subject group density effects were small and not predictive of subject egress time.
Human Subject Effects onIndividual Egress Time Evacuation Effects
Conclusions • Human subject effects accounted for most of the variance in the subject egress time data. • Age, waist size, and gender were predictive of subject egress time, as older and larger subjects, particularly females, were found to egress more slowly. • These findings replicate and extend those from previous evacuation research employing practiced subjects.