Accident database analysis reveals heterogeneous risk factor effects in fatal helicopter crashes, suggesting specific mechanical and flight variables drive severe outcomes.
Key Points
To model injury and fatality severity in helicopter accidents while evaluating whether contributing risk factors exhibit unobserved heterogeneity.
Analyzed records of 1,241 helicopter accidents sourced from the National Transportation Safety Board (NTSB) database.
Applied and compared four variants of random parameter logit models to capture unobserved heterogeneity across accident features.
The random parameter logit with heterogeneity in means (RPLHM) model provided the best fit to the accident data.
Identified heterogeneous effects influencing fatal crashes, specifically related to active emergency locator transmitters, reciprocating engines, 320–450 horsepower ratings, and post-crash fire or explosion, with no heterogeneity observed in non-fatal injury models.
Demonstrated that instrument meteorological conditions, loss of control in flight, and low-altitude collisions significantly associate with fatal outcomes.