Efficiency indicators 4 shows the mean values, the standard deviations and the coefficients of correlation with the horizontal indicators for the two most representative ECAC traffic samples , 2017 February 20th and 2017 February 24th. Coefficients of correlation allowed assessing if it is necessary to calculate complex indicators to assess the efficiency from the perspective of the Airspace Users or simple indicators such as the horizontal ones are representative enough. The table shows also the Airlines´ qualitative assessment of the added value of AURORA´s new indicators, based on their interests. Understanding represents if it is easy to understand the indicator, and representativeness means if it is representative enough of their interests. These criteria were chosen in line with the SESAR process to assess new indicators. Indicators that are more complex are harder to understand but are more representativeness of AUs interests. Linear Correlation Understanding Representativeness Mean Standard Days Indicator with Horizontal value Deviation Indicator 9.3% 6.6% KEA High Low 10.0% 6.6% -1.1% 5.0% KEA_P N/A High High -1.5% 5.6% -1.8% 4.3% 0.03 VEA_P High Medium -1.9% 4.0% 0.01 1.6% 6.3% 0.51 FEA_P High Medium/High 1.8% 6.6% 0.37 1.7% 5.0% 0.75 High Medium/High CEA_P 1.4% 4.9% 0.63 20/02/2017 9.5% 6.6% 24/02/2017 KEA_C1 N/A 10.2% 6.6% -6.1% 7.2% 0.01 VEA_C1 Medium High -7.5% 7.4% 0.01 1.7% 7.2% 0.40 FEA_C1 Low High 2.0% 6.7% 0.25 8.7% 6.1% 0.65 CEA_C1 Low/Medium High 9.1% 6.0% 0.59 -1.2% 5.2% KEA_C2 N/A -1.3% 5.3% -4.9% 7.5% 0.01 VEA_C2 Low Low/Medium -6.3% 8.0% 0.01
Efficiency indicators 4 shows the mean values, the standard deviations and the coefficients of correlation with the horizontal indicators for the two most representative ECAC traffic samples , 2017 February 20th and 2017 February 24th. Coefficients of correlation allowed assessing if it is necessary to calculate complex indicators to assess the efficiency from the perspective of the Airspace Users or simple indicators such as the horizontal ones are representative enough. The table shows also the Airlines´ qualitative assessment of the added value of AURORA´s new indicators, based on their interests. Understanding represents if it is easy to understand the indicator, and representativeness means if it is representative enough of their interests. These criteria were chosen in line with the SESAR process to assess new indicators. Indicators that are more complex are harder to understand but are more representativeness of AUs interests. Days Indicator Mean value Standard Deviation Linear Correlation with Horizontal Indicator Understanding Representativeness 20/02/2017 24/02/2017 KEA 9.3% 10.0% 6.6% 6.6% High Low KEA_P -1.1% -1.5% 5.0% 5.6% N/A High High VEA_P -1.8% -1.9% 4.3% 4.0% 0.03 0.01 High Medium FEA_P 1.6% 1.8% 6.3% 6.6% 0.51 0.37 High Medium/High CEA_P 1.7% 1.4% 5.0% 4.9% 0.75 0.63 High Medium/High KEA_C1 9.5% 10.2% 6.6% 6.6% N/A VEA_C1 -6.1% -7.5% 7.2% 7.4% 0.01 0.01 Medium High FEA_C1 1.7% 2.0% 7.2% 6.7% 0.40 0.25 Low High CEA_C1 8.7% 9.1% 6.1% 6.0% 0.65 0.59 Low/Medium High KEA_C2 -1.2% -1.3% 5.2% 5.3% N/A VEA_C2 -4.9% -6.3% 7.5% 8.0% 0.01 0.01 Low Low/Medium
aurora-final-report.docx