Pricing Access to U-space: A Cost- Recovery Framework for Drone Traffic Management Services | Journal of Airline Operations and Aviation Management

Journal of Airline Operations and Aviation Management

Vol. 5 (2026): Volume 5 | Special Collection: Contributions from the Editorial Board
DOI : https://doi.org/10.64799/jaoam.V5.IE.4
Published : Oct 16, 2026

Pricing Access to U-space: A Cost- Recovery Framework for Drone Traffic Management Services

Šárka Václavíková (1), Jakub Kraus (2), Adam Kleczatský (3), Peter Vittek (4)

(1) Czech Technical University in Prague, Faculty of Transportation Sciences, Department of Air Transport, Prague, Czech Republic
(2) Czech Technical University in Prague, Faculty of Transportation Sciences, Department of Air Transport, Prague, Czech Republic
(3) Czech Technical University in Prague, Faculty of Transportation Sciences, Department of Air Transport, Prague, Czech Republic
(4) Czech Technical University in Prague, Faculty of Transportation Sciences, Department of Air Transport, Prague, Czech Republic
Fulltext View | Download
Abstract

The integration of unmanned aircraft systems into European airspace under the U-space regulatory framework raises unresolved questions about how shared infrastructure should be financed and how service charges should be designed. This paper proposes a structured, rule-based cost-recovery pricing methodology for U-space services, grounded in the EU regulatory framework and in economic theory on infrastructure pricing. The framework decomposes total charges into three layers: infrastructure costs, operational costs, and an operator-complexity weighting factor (Operator and Complexity Indicator, OACI). To test the framework, a synthetic traffic generator covering approximately 1,470,000 flights across five operator classes and four mission categories is used to evaluate a range of market-maturity scenarios. The results demonstrate robust cost recovery, a proportional distribution of fees across operator classes, and moderate sensitivity to calibration of the rate coefficient. The qualitative ordering of fee burdens remains stable across 125 rate-coefficient combinations. The methodology is presented as a structural template for regulators, Common Information Service Providers, and U-space Service Providers, intended to be populated with empirical cost and traffic data as European U-space deployment matures.