Code
01CD4823
Duration
01 September 2023 → 31 December 2023
Funding
Regional and community funding: Special Research Fund
Promotor
Fellow
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.