Risk analysis of the EASA minimum fuel requirements considering the ACARE-defined safety target

We present the results of flight simulator experiments (60 runs) with randomly selected airline pilots under realistic operational conditions and discuss them in light of current fuel regulations and potential fuel starvation. The experiments were conducted to assess flight crew performance in handling complex technical malfunctions including decision-making in fourth-generation jet aircraft. Our analysis shows that the current fuel requirements of the European Aviation Safety Agency (EASA) are not sufficient to guarantee the safety target of the Advisory Council for Aviation Research and Innovation in Europe (ACARE), which is less than one accident in 10 million flights. To comply with this safety target, we recommend increasing the Final Reserve Fuel from 30Â min to 45Â min for jet aircraft. The minimum dispatched fuel upon landing should be at least 1Â h.

[1]  Andreas Haslbeck,et al.  How Pilots Assess Their Non-Technical Performance – A Flight Simulator Study , 2021, Advances in Human Aspects of Transportation: Part I.

[2]  Patrick Gontar,et al.  Flight Crew Performance and CRM Ratings Based on Three Different Perceptions , 2014 .

[3]  Uday Kumar,et al.  Operational Risk of Aircraft System Failure , 2010 .

[4]  A. D. Swain,et al.  Handbook of human-reliability analysis with emphasis on nuclear power plant applications. Final report , 1983 .

[5]  Florian Holzapfel,et al.  Quantification of incident probabilities using physical and statistical approaches , 2014 .

[6]  Javier Cano,et al.  To Fuel or Not to Fuel? Is that the Question? , 2014 .

[7]  David B. Dunson,et al.  Bayesian Data Analysis , 2010 .

[8]  Patrick Gontar,et al.  Interrater Reliability at the Top End: Measures of Pilots’ Nontechnical Performance , 2015 .

[9]  Steve Lewis.  Risk Criteria - When is low enough good enough? , 2007 .

[10]  Florian Holzapfel,et al.  Predicting the Occurrence of Incidents Based on Flight Operation Data , 2011 .

[11]  Harshad Khadilkar,et al.  Estimation of aircraft taxi fuel burn using flight data recorder archives , 2012 .

[12]  Dietrich Grasshoff,et al.  Predictive Validity of a Selection Procedure for Air Traffic Controller Trainees , 2013 .

[13]  Luca Podofillini,et al.  MEASURING THE INFLUENCE OF TASK COMPLEXITY ON HUMAN ERROR PROBABILITY: AN EMPIRICAL EVALUATION , 2013 .

[14]  Andreas Haslbeck,et al.  Flying the Needles , 2016, Hum. Factors.

[15]  Florian Holzapfel,et al.  Fuel Starvation Caused by Hub Closure , 2016 .

[16]  Philip E. Jones,et al.  Aircraft Fuel Systems , 2009 .

[17]  J. Hammitt,et al.  Research Synthesis and the Value per Statistical Life , 2015, Risk analysis : an official publication of the Society for Risk Analysis.

[19]  Tasos Nikoleris,et al.  Detailed estimation of fuel consumption and emissions during aircraft taxi operations at Dallas/Fort Worth International Airport , 2011 .

[20]  Hinnerk Eißfeldt,et al.  A Large Scale Validation Study on Air Traffic Controller Selection and Training-Design, Challenges and Results , 2011 .

[21]  Roger M. Cooke,et al.  Development of a Causal Model for Air Transport Safety , 2005 .

[22]  Daniel Straub,et al.  Reliability analysis for runway overrun using subset simulation , 2014 .

[23]  Roger M. Cooke,et al.  Further development of a Causal model for Air Transport Safety (CATS): Building the mathematical heart , 2009, Reliab. Eng. Syst. Saf..

[24]  R. John Hansman,et al.  The Impact of Fuel Price on Airline Fuel Efficiency and Operations , 2013 .