Aviation safety is paramount, and the concern for risk-taking remains persistent in the industry, especially among pilots with a high propensity for such behavior. The research objective is to explore..
Aviation safety is paramount, and the concern for risk-taking remains persistent in the industry, especially among pilots with a high propensity for such behavior. The research objective is to explore established and novel factors that predict risk propensity among general aviation pilots in the United States. Sample data will be gathered from local Experimental Aircraft Association chapters in Central Florida and Embry Riddle Aeronautical University campus in Daytona Beach. The study involves developing a statistical prediction model to forecast pilots’ risk propensity, followed by model fit testing using additional sampling to validate the predicted model. The research aims to identify the factors that impact pilots’ decision-making and aid the industry in developing intervention programs for pilot risk management. The study explores several risk-propensity predictors, including self-efficacy, locus of control, pilots’ mental health, and hazardous events. The model prediction and cross-validation approach aim to increase the rigor and generalizability of the findings, contributing to a better understanding of risk-taking propensity among GA pilots and ultimately improving aviation safety.