National Academies Press: OpenBook

Performance Measures for State Aviation Agencies (2020)

Chapter: Appendix D - Federal Aviation Administration Performance Measures

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Suggested Citation:"Appendix D - Federal Aviation Administration Performance Measures." National Academies of Sciences, Engineering, and Medicine. 2020. Performance Measures for State Aviation Agencies. Washington, DC: The National Academies Press. doi: 10.17226/25975.
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Suggested Citation:"Appendix D - Federal Aviation Administration Performance Measures." National Academies of Sciences, Engineering, and Medicine. 2020. Performance Measures for State Aviation Agencies. Washington, DC: The National Academies Press. doi: 10.17226/25975.
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Suggested Citation:"Appendix D - Federal Aviation Administration Performance Measures." National Academies of Sciences, Engineering, and Medicine. 2020. Performance Measures for State Aviation Agencies. Washington, DC: The National Academies Press. doi: 10.17226/25975.
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Suggested Citation:"Appendix D - Federal Aviation Administration Performance Measures." National Academies of Sciences, Engineering, and Medicine. 2020. Performance Measures for State Aviation Agencies. Washington, DC: The National Academies Press. doi: 10.17226/25975.
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Page 135
Suggested Citation:"Appendix D - Federal Aviation Administration Performance Measures." National Academies of Sciences, Engineering, and Medicine. 2020. Performance Measures for State Aviation Agencies. Washington, DC: The National Academies Press. doi: 10.17226/25975.
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Page 136
Suggested Citation:"Appendix D - Federal Aviation Administration Performance Measures." National Academies of Sciences, Engineering, and Medicine. 2020. Performance Measures for State Aviation Agencies. Washington, DC: The National Academies Press. doi: 10.17226/25975.
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Page 136

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131 Federal Aviation Administration Performance Measures In examining performance measures used by state aviation agencies, a review of the FAA use of performance measures seemed appropriate. A review of these metrics may be of assistance to state aviation agencies and suggest similar metrics for the agencies to use. FAA Performance Measures The FAA monitors performance over many areas that highlight the performance of its mission and advancement of its goals. Its operational metrics show how the FAA is performing in the areas of safety, efficiency, capacity, environment, and cost effectiveness. Like most large organizations, it had difficulty managing the number of metrics being used and reported by the various groups within the agency, different data sources being used for the same calculations, multiple names for the same metric, and multiple definitions for the same metric. As a result, it undertook a harmonization effort to bring accuracy and consistency to its performance measure reporting. The fruits of its labor are shown in Tables D.1 through D.5. For more informa- tion about these tables, refer to https://www.faa.gov/data_research/aviation_data_statistics/ operational_metrics/. A P P E N D I X D

132 Performance Measures for State Aviation Agencies Metric Name Definition Unit Reporting Scope Reported Time Frames Commercial air carrier fatality rate Rate of fatalities per 100 million persons on board Fatalities per 100 million per- sons on board National Airspace Sys- tem (NAS) commercial operations Current fiscal year to date General avia- tion fatal acci- dent rate Rate of fatal general aviation (GA) acci- dents per 100,000 flight hours Accidents per 100,000 flight hours NAS general aviation operations Current fiscal year to date System risk event rate (SRER)R The rate of high-risk loss of standard sepa- ration events, per thousand events of loss of standard separation. The rate is com- puted over a rolling 12-month period. High-risk events per 1,000 loss of standard separation events NAS and radar- controlled aircraft Current fiscal year to date Runway incur- sions rate (A&B)R Rate of Category A and B runway incur- sions per million operations Category A and B runway incur- sions per mil- lion operations NAS Current fiscal year to date Hazard risk mit- igations Implement 80% of approved interventions to mitigate the top 5 hazards associated with airborne losses of standard separa- tion. This metric measures the air traffic organization (ATO) success in mitigating the identified risks in the NAS. It moves the agency away from merely counting mis- takes. Percent of ap- proved inter- ventions imple- mented NAS Current fiscal year to date Commercial space launch incidents Number of accidents resulting in fatalities, injuries, or significant property damage Number of acci- dents NAS Current fiscal year to date Worldwide fa- tal aviation ac- cident rate The rate of worldwide fatal accidents in Part 121-like operations, per million part 121-like operation departures Accidents per million Part 121-like depar- tures Worldwide operations Current fiscal year to date Source: FAA, 2017. Note: R indicates that the metric addresses reporting requirements included in Section 214 of the FAA Modernization and Reform Act of 2012, the law that reauthorized the FAA. Table D.1. Safety.

Federal Aviation Administration Performance Measures 133 Metric Name Definition Unit Reporting Scope Reported Time Frames Taxi-in time The taxi-in time is computed as the dura- tion between landing (wheels on) time and gate-in time, as reported by carriers. A sys- tem value is obtained by averaging these durations over a period of time. Minutes Core airports Current fiscal year to date Taxi-out timeR The taxi-out time is computed as the dura- tion between gate-out time and take-off (wheels off) time. A system value is ob- tained by averaging these durations over a period of time. Minutes Core airports Current fiscal year to date Average gate arrival delayR The arrival delay is computed as the gap between scheduled arrival (gate-in) time and actual arrival time, whenever the ac- tual arrival is later than the scheduled arri- val time. Arrival delays are averaged over a period of time. Minutes Core airports Current fiscal year to date Average gate- to-gate timesR The gate-to-gate time is computed as the duration between the gate-out time at the departure airport and the gate-in time at the arrival airport. A system value is ob- tained when averaging these durations over a period of time. Minutes Carrier-reported flights to and from core air- ports Current fiscal year to date Distance at level flight – descent The Optimization of Airspace Procedures in the Metroplex (OAPM) program started in 2011, under the air traffic organization’s (ATO’s) lead, and targets the country's busiest airspace. Efforts are under way to review descent procedures and reduce the distance flown at level flight. This continu- ous descent effort is focused on core air- ports. Nautical miles Core airports Current fiscal year to date Flown versus filed flight times for key city pairsR Prior to departure, operators submit their flight plans to the FAA, and then a collabo- rative flight plan is filed and cleared for take-off. To compute this metric, compare the latest flight plan time, as filed prior to departure, with the actual flown airborne time (wheels off to wheels on). A system value is obtained by averaging over a pe- riod of time, for all key city pairs. Minutes National Airspace Sys- tem (NAS) core airports and for NAS key city pairs Current fiscal year to date Average dis- tance flown between key city pairsR The distance flown is defined as the actual flown distance between wheels-off and wheels-on. The metric is reported as an aggregate for all key city pairs. Nautical miles NAS core airports and for NAS key city pairs Current fiscal year to date Table D.2. Efficiency. (continued on next page)

134 Performance Measures for State Aviation Agencies Metric Name Definition Unit Reporting Scope Reported Time Frames Number of ar- rival and de- parture de- lays Delays of 15 minutes or more for arrivals and departures, captured by airport, for any number of days Count Core airports Current fiscal year to date Number of operations This metric is a count of all departure and arrival operations by airport, for all flights where FAA captured a flight plan record. Count Core airports Current fiscal year to date NAS on-time arrivals NAS on-time arrivals is the percentage of all flights arriving at the core airports less than 15 minutes late, based on the carrier flight plan filed with the FAA, and exclud- ing minutes of delay attributed by air carri- ers to extreme weather, carrier circum- stances, security delay, and prorated minutes for late arriving flights at the de- parture airport. Percent of flights Core airports Current fiscal year to date Average fuel burned be- tween key city pairsR Fuel burned is defined as the actual fuel used between gate departure and gate ar- rival. This metric is reported as an aggre- gated per-flight average for all key city pairs. Average fuel used per flight is influ- enced by the mix of flying across city pairs, aircraft size, traffic carried, aircraft perfor- mance characteristics, and weather. Ac- cordingly, as reported, this metric is not a direct measure of operational fuel effi- ciency and should not be used as a proxy for system fuel efficiency on its own. Pounds Carrier reported flights for key city pairs Current fiscal year to date Source: FAA, 2017. Note: R indicates that the metric addresses reporting requirements included in Section 214 of the FAA Modernization and Reform Act of 2012, the law that reauthorized the FAA. Table D.2. (Continued).

Federal Aviation Administration Performance Measures 135 Metric Name Definition Unit Reporting Scope Reported Time Frames Average daily capac- ity (ADC)R Sum of the number of flights the FAA facili- ties plan as capability for landings and take- offs in a month(s), divided by the number of days in the month(s). Number of arri- vals and depar- tures National Airspace Sys- tem (NAS) core airports and times of day rele- vant to the operations Current fiscal year to date Average daily opera- tionsR Sum of the number of flights the FAA facili- ties actually land and take-off in a month(s), divided by the number of days in the month(s). These average daily operation rates can be compared to the ADC. Number of arri- vals and depar- tures NAS core airports and times of day relevant to the operations Current fiscal year to date Runway pavement condition Maintain runway pavement in excellent, good, or fair condition for at least 93 percent of the paved runways in the NPIAS Percent of run- ways with pave- ment in fair or better condition Paved and open run- ways in the NPIAS Annually NAS reliabil- ity NAS reliability is calculated by using an expo- nential equation where the mission time equals 24 hours and the constant e equals 2.71828. Unscheduled mean time between outages (MTBO) represents the average (mean) operating facility/service time be- tween unscheduled outages. The formula used to calculate the MTBO consists of total operating hours (maximum available hours minus total scheduled and unscheduled out- age time) divided by the total number of un- scheduled outages. Probability that a system will continue to function with- out interruption for its given mis- sion time Core airports Current fiscal year to date Source: FAA, 2017. Note: R indicates that the metric addresses reporting requirements included in Section 214 of the FAA Modernization and Reform Act of 2012, the law that reauthorized the FAA. Table D.3. Capacity.

136 Performance Measures for State Aviation Agencies Table D.5. Cost effectiveness. Metric Name Definition Unit Reporting Scope Reported Values Unit cost per operation The FAA is currently computing and report- ing its unit cost per operation, for opera- tions reported by all its facilities. Costs in- clude all operating costs assignable to the air traffic organization (ATO) under the FAA's cost accounting system, including an assignment of FAA overhead costs. Opera- tion counts include both instrument and visual flight conditions, for federal and con- tract facilities. This metric is part of the Re- Authorization Bill Section 214 performance metrics requirements. Cost in U.S. dol- lars per air traffic operation The FAA computes this metric for the Na- tional Airspace Sys- tem (NAS). Quarterly Source: FAA, 2017. Metric Name Definition Unit Reporting Scope Reported Time Frames Noise expo- sure Number of people exposed to significant noise (regardless of whether their houses or apartments have been sound-insulated). Significant aircraft noise levels are currently defined as values greater than or equal to day–night average sound level (DNL) 65 dec- ibels (dB). U.S. population exposed to signif- icant aircraft noise FY reporting reflects the previous calendar year period. Annually Renewable jet fuel Defined as the number of gallons of renewa- ble jet fuel used by U.S. aircraft per calendar year. It includes all jet operations in the United States, for both military and com- mercial use, since both are using available supplies of renewable jet fuels. Gallons of renew- able jet fuel for the National Air- space System (NAS) FY reporting reflects the previous calendar year period. Annually NAS-wide energy effi- ciency Computed as the ratio of estimated fuel burn and the actual distance flown, in units of kilogram per kilometer. Kilogram per kilo- meter for the NAS FY reporting reflects the previous calendar year period. Annually Emissions exposure Quantity of Carbon Dioxide (CO2) emitted by aircraft engines, measured in kilograms. Kilograms of CO2 for the NAS FY reporting reflects the previous calendar year period. Annually (CO2 emis- sions) Source: FAA, 2017. Table D.4. Environment.

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Across the country, state transportation agencies of various modes have been required to incorporate performance measures (PMs) into their core business functions.

With this trend developing nationwide, the TRB Airport Cooperative Research Program's ACRP Research Report 223: Performance Measures for State Aviation Agencies develops PMs for the National Association of State Aviation Officials (NASAO) membership and their respective state aviation agencies.

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