Prediction of fatal outcomes in German general aviation accidents - a new scoring system to facilitate emergency control centres-Reference-Cited by-同舟云学术

Prediction of fatal outcomes in German general aviation accidents - a new scoring system to facilitate emergency control centres

Published:2024-07-19 Issue: Volume: Page:
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Author:

Hinkelbein Jochen¹,Hippler Catherina²,Liebold Felix³,Schmitz Jan³,Rothschild Markus²,Schick Volker²

Affiliation:

1. Johannes Wesling University Hospital Minden, Ruhr-University Bochum

2. University of Cologne

3. German Association of Aerospace Medicine (DGLRM)

Abstract

Background Numerous accidents occur with General Aviation aircraft every year. To date, pre-emptive prediction of survival or death is impossible. The current study aims to identify significant factors elementary to predict survival after General Aviation (GA) aircraft accidents. The Implementation of a scoring system, including these factors, may facilitate emergency control centres. Material and Methods Data of flight accidents over a 20-year period (extracted from the German Federal Bureau of Aircraft Accident Investigation [BFU]) was analysed for fixed-wing motorized small aircrafts below 5,700 kg MTOW. Factors of interest were analysed using Chi²- and Mann-Whitney-U-Tests. Logistic regression was used to establish a score to calculate the probability of a fatal outcome after an aircraft accident. Results The BFU lists 1,595 GA aircraft accidents between 2000 and 2019. The factors “third quarter of the year” (p = 0.04), “last quarter of the year” (p = 0.002), “fire” (p < 0.0001), “distance from airport > 10 km” (p < 0.0001), “landing” (p < 0.0001) and “cruise” (p < 0.0001), significantly correlated positively or negatively with a fatal outcome. “Take-off”, “approach”, “month”, “day of the week”, “persons on board above three”, “night-time” and “icing conditions” showed no significant correlation. Using logistic regression “third quarter of the year” and “cruise” were excluded when using the B-STEP method. Including the four significant parameters, the score showed a strong effect with f² = 0.709. Conclusions The analysis of GA aircraft accidents in Germany enabled the identification of relevant factors and establishment of a new scoring system for survival prediction after small aircrafts accidents below 5,700 kg MTOW. The implementation of the scoring system in emergency control centres in the context of digital development and artificial intelligence can improve emergency response planning and distribution.

Publisher

Springer Science and Business Media LLC

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