Research Explorer

Project

Analytical research of passenger behavior in airplane emergency evacuations: from time perception to choice behavior
Code
01CD4823
Duration
01 September 2023 → 31 December 2023
Funding
Regional and community funding: Special Research Fund
Research disciplines
  • Natural sciences
    • Geophysics not elsewhere classified
Keywords
hybrid choice model nested logit Behavioral decision stated preference social influence airplane emergency evacuation time perception human heterogeneity exit choices ordinal logistic regression exit configurations latent factors
 
Project description
 To enhance airplane safety, this project utilizes virtual airplane emergency evacuation experiments to study passenger behavior during airplane accidents. Applying surveys, interviews, analytical and econometric modeling methods, it investigates the whole airplane evacuation time estimation, individual evacuation time estimation, exit choice behavior modeling, latent human factors modeling, and the impact of exit configurations on emergency choice behavior modeling.