Econometrics Model of Severity of Airplane Accident Occurrences

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Orathai Narongchai
Anuwat Santaweesuk


Air travelling is the most convenient and safe mode of transportation.  However, the recently occurred of severe air accidents gradually increased and affected the decision of passengers. This paper aimed to study factor affecting severity of aviation accidents represented by number of the fatality passengers. The study divided into two models. The first model was the aggregated model, Explanatory variables included in the study were location of crash, seat capacity, age of the aircraft, distance of traveling, type of fleets and category of events. employed 397 data of accidents during 1953 -2015. The results revealed that fleet capacity and age of aircraft positively related with severity level. For the second model which focused on 3 aircrafts from the big 3 companies namely, Airbus, Boeing and McDonald Douglas  Dependent variables also was number of deads but independent variables were interaction terms of airplane company and seat capacity, age of aircraft and planed distance. And used 155 events from the first model’s samples. The results indicated that as the older airplane, Airbus accidents provided the most serious events. But for the inter-action term of type and capacity, only Boeing and McDonald Douglas led to the higher fatality passengers.


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Narongchai, O., & Santaweesuk, A. (2015). Econometrics Model of Severity of Airplane Accident Occurrences. WMS Journal of Management, 4(3), 34-43. Retrieved from
Research Articles-Academic Articles
Author Biographies

Orathai Narongchai

Faculty of Accountancy and Management Maha Sarakham University

Anuwat Santaweesuk

Faculty of Accountancy and Management Maha Sarakham University


Ayres, M., Shirazi, H., Carvalho, R., Hall, J., Speir, R., Arambula, E., ... & Pitfield, D. 2013. Modelling the location and consequences of aircraft accidents. Safety science, 51(1), 178-186.

Bazargan, M., & Guzhva, V. S. 2011. Impact of gender, age and experience of pilots on general aviation accidents. Accident Analysis & Prevention, 43(3), 962-970.

Bigün, E. S. 1995. Risk analysis of catastrophes using experts' judgements: An empirical study on risk analysis of major civil aircraft accidents in Europe.European journal of operational research, 87(3), 599-612.

Caldwell, J. A. 2005. Fatigue in aviation. Travel Medicine and Infectious Disease, 3(2), 85-96.

Campbell, G. S., & Lahey, R. 1984. A survey of serious aircraft accidents involving fatigue fracture. International Journal of Fatigue, 6(1), 25-30.

Chang, R. C. 2014. Examination of excessive fuel consumption for transport jet aircraft based on fuzzy-logic models of flight data. Fuzzy Sets and Systems.

Chen, H., & Wang, G. 2014. Pilot Control Behavior Analysis Using Cutoff Frequency and Power Frequency for a Civil Transport Aircraft Encountering Turbulence Based on Flight Simulation. Procedia Engineering, 80, 424-430.

Dambier, M., & Hinkelbein, J. 2006. Analysis of 2004 German general aviation aircraft accidents according to the HFACS model. Air medical journal, 25(6), 265-269.

Daramola, A. Y. 2014. An investigation of air accidents in Nigeria using the Human Factors Analysis and Classification System (HFACS) framework. Journal of Air Transport Management, 35, 39-50.

Goode, J. H. 2003. Are pilots at risk of accidents due to fatigue?. Journal of safety research, 34(3), 309-313.

Koo, T. T., Caponecchia, C., & Williamson, A. 2015. Measuring the effect of aviation safety risk reduction on flight choice in young travellers. Safety Science, 73, 1-7.

Lasczkowski, G., Hasenfuss, S., Verhoff, M., & Weiler, G. 2002. An unusual airplane crash-deadly life saver: Unintentional activation of an automated reserve opening device causing airplane accident. Forensic science international, 125 (2), 250-253.

Oster, C. V., Strong, J. S., & Zorn, C. K. 2013. Analyzing aviation safety: Problems, challenges, opportunities. Research in transportation economics, 43(1), 148-164.

Reynolds, T. G. 2014. Air traffic management performance assessment using flight inefficiency metrics. Transport Policy, 34, 63-74.

Rhodes, S. L. 1993. The effect of the environment on aviation weather safety: Meteorological assessment for the new Denver airport. Environmental Impact Assessment Review, 13(1), 63-74.

Shao, P. C., Chang, Y. H., & Chen, H. J. 2013. Analysis of an aircraft accident model in Taiwan. Journal of Air Transport Management, 27, 34-38.

Wang, Z. 2011. Study of Evolution Mechanism on Aircraft Sudden Failure. Procedia Engineering, 15, 1303-1307.