Estimating the costs for the airport operator and airlines of a drone-related shutdown: an application to Frankfurt international airport
Philippe Wendt,
Augusto Voltes-Dorta () and
Pere Suau-Sanchez
Additional contact information
Philippe Wendt: University of Edinburgh Business School
Augusto Voltes-Dorta: University of Edinburgh Business School
Pere Suau-Sanchez: Universitat Oberta de Catalunya
Journal of Transportation Security, 2020, vol. 13, issue 1, No 7, 93-116
Abstract:
Abstract 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 stakeholders.
Keywords: Drone attack; Airport closure; Cost estimation; Passenger recovery (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://link.springer.com/10.1007/s12198-020-00212-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:jtrsec:v:13:y:2020:i:1:d:10.1007_s12198-020-00212-4
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/12198
DOI: 10.1007/s12198-020-00212-4
Access Statistics for this article
Journal of Transportation Security is currently edited by Andrew Thomas
More articles in Journal of Transportation Security from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().