ANS Performance @ Airports ANS Performance @ Airports

PeriodAreaUpdate rateLast updateSource(s)Data
Jan-DecEUROCONTROL areaQuarterly22-Mar-2019NM, PRU, CODA

Arrival flow management

This section analyses ANS-related inefficiencies on the arrival flow at the top 30 European airports in terms of arrival ATFM delay and additional ASMA time.
Top 30 airports
Airport arrival ATFM delay by airport - 2018 vs. 2017

Different from the negative trend observed en-route, average airport ATFM delays at the top 30 European airports decreased from 1.24 to 1.13 minutes per arrival in 2018.
The main reason for airport ATFM regulations in 2018 was adverse weather (54.9%) which increased by 2.9 percent points (pp) compared to 2017. The second largest category was airport capacity (29.8%) which decreased by 7.8 pp, mainly due to the continued substantial improvement at Sabiha (SAW) airport. Amsterdam Schiphol (AMS) airport also showed a significant year on year improvement in airport ATFM arrival delays with a reduction of 1.1 minutes per arrival in 2018.
On the other side, the already comparatively high airport arrival ATFM delays at Lisbon and Barcelona airports further increased in 2018 which was partly linked to substantial traffic growth in 2018.

Average additional ASMA time (airborne holdings) at the top 30 airports in 2018 also decreased from 2.18 to 2.07 minutes per arrival. Copenhagen (CPH) showed the most notable improvement (-1.1 min vs 2017) in 2018. Despite a notable reduction of almost 1 minute in 2018, London Heathrow remained the airport with the highest average additional ASMA time in Europe (7.7 min per arrival), followed by London Gatwick (3.9 min) and Dublin (3.1 min).

Departure flow management

This section analyses ANS-related inefficiencies on the departure flow at the top 30 European airports in terms of ATC pre-departure delays at the gate and additional taxi-out time.
Top 30 airports
no consistent time series available

The data analysed in this section is based on data directly provided by airport operators. Unlike CODA data, the Airport Operator Data Flow covers all departures from airports and is therefore also used for the analysis of additional taxi out and ASMA times. As highlighted in PRR, while the data flow has a better coverage, some data quality issues do exist.
Similar to the efficiency changes on the arrival flow, Lisbon (LIS) and Barcelona (BCN) showed also a significant increase in local ATC departure delay in 2018.
Top 30 airports

Different from the additional ASMA time, the average additional taxi-out time increased from 3.9 minutes in 2017 to 4.2 minutes per departure in 2018 (excluding the Turkish airports for which no data was available).
Overall, 21 of the 27 airports reported an increase in additional taxi out time in 2018. The highest levels of average additional taxi-out times were observed at London (LHR), London (LGW), Rome (FCO), Dublin (DUB) and Barcelona (BCN) with the most notable year on year increase observed at Dublin (+1.7 min vs. 2017). Notable year on year improvements were observed at Manchester (MAN) and Amsterdam (AMS).