Airport Punctuality, Congestion and Delay: The Scope for Benchmarking

Airport performance benchmarking increasingly requires level-of-service (LoS) indicators for afair comparison among members of the same peer group. For a true performance analysis such inclusion of quality measures is necessary to differentiate airports with similar pure output quantities, i.e. number of aircraft movements. Since variation of scheduled times versus actual times could substantially cause accumulating operating costs for carriers and could furthermore pose the risk and inconvenience of missed connections for the passengers, this article examines determinants of flight delays at airports, and thereby developing performance indicators such as slot capacity utilization, queueing time and punctuality. The essence of underlying phenomena in queueing theory such as Little’s Law, arrival and departure distributions, and cumulative throughput and demand diagrams are briefly explained. This work’s aim is the exploration of ways of measuring and observing performance quality from actual flight schedules with a focus on usability for subsequent airport benchmarking and traffic modeling.

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