Estimating the costs for the airport operator and airlines of a drone-related shutdown:An application to Frankfurt International Airport

Commercially-acquired drones threaten airport operations due to limited knowledge of airspace safety regulations or deliberate action by drone operators. This study aims to determine whether the investment cost of a drone-defence system can be justified in relation to the financial cost of a drone-related shutdown. To that end, a case study of Frankfurt Airport is carried out with simulations of different disruptions during a peak-activity period similar to the 2018 Gatwick drone incident. With data on passenger traffic and airline schedules, we developed a passenger recovery algorithm to determine the amount of delays caused by the disruptions and the costs for the airport operator and the airlines. Results show that the investment in a drone-defence system is offset by the costs of a 48-h continued closure or several smaller closures, but since the largest share of costs is borne by the airlines, investments should be shared between both stakeholder

A stochastic frontier analysis to estimate the relative efficiency of Spanish airports

Airport efficiency, Stochastic frontier, Bayesian inference, Markov chain Monte Carlo, C15, D24, L93,