The cost of general aviation accidents in the United States |
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| Institution: | 1. Institute of Computer Application, CAEP, Mianyang 621900, Sichuan, China;2. Department of Disaster Mitigation for Structures, College of Civil Engineering, Tongji University, Shanghai 200092, China;3. Institute of System Engineering, CAEP, Mianyang 621900, Sichuan, China;1. Department of Physical and Computer Sciences, McPherson University, Abeokuta, 110117, Nigeria;2. Department of Physics and Engineering Physics, Obafemi Awolowo University, Ile-Ife, 220282, Nigeria;1. School of Engineering and Materials Science, Queen Mary University of London, Mile End Road, E1 4NS, London, UK;2. Materials Research Institute, Queen Mary University of London, Mile End Road, E1 4NS, London, UK;3. Nanoforce Technology Ltd., Joseph Priestley Building, Queen Mary University of London, Mile End Road, E1 4NS, London, UK;4. NPU-QMUL Joint Research Institute of Advanced Materials and Structures, Northwestern Polytechnical University, Xi''an, 710072, PR China;1. School of Aeronautic Science and Engineering, Beihang University, Beijing 100191, China;2. Alexander von Humboldt Research Fellow, University of Stuttgart, Stuttgart 70569, Germany |
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| Abstract: | Very few studies examine the costs associated with general aviation accidents. Given the large number of general aviation operations as well as the large number of fatalities and injuries attributed to general aviation accidents in the United States, understanding the costs to society is of great importance. This study estimates the costs associated with general aviation accidents in the United States. The direct costs are estimated and the indirect costs are estimated via the human capital approach in addition to the willingness-to-pay approach. The average annual accident costs attributed to general aviation are found to be $1.64 billion and $4.64 billion (2011 US$) utilizing the human capital approach and willingness-to-pay approach, respectively. These values appear to be fairly robust when subjected to a sensitivity analysis. |
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