Prediction of U.S. General Aviation fatalities from extreme value approach

Abdoulaye Diamoutene, Bernard Kamsu-Foguem, Farid Noureddine and Diakarya Barro

Transportation Research Part A: Policy and Practice, 2018, vol. 109, issue C, 65-75

Abstract: General Aviation is the main component of the United States civil aviation and the most aviation accidents concern this aviation category. Between early 2015 and May 17, 2016, a total of 1546 general aviation accidents in the United States has left 466 fatalities and 384 injured. Hence, in this study, we investigate the risk of U.S. General Aviation accidents by examining historical U.S. General Aviation accidents. Using the Peak Over Threshold approach and Generalized Pareto Distribution, we predict the number of fatalities resulting in extreme GA accidents in the future operations. We use a graphical method and intensive parameters estimates to obtain the optimal range of the threshold. In order to assess the uncertainty in the inference and the accuracy of the results, we use the nonparametric bootstrap approach.

Keywords: General Aviation accident; Extreme value statistics; Graphical diagnosis; Return level; Uncertainty; Nonparametric bootstrap (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (2)

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DOI: 10.1016/j.tra.2018.01.022

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