Technology Adoption in Air Traffic Management: A Combination of Agent-Based Modeling with Behavioral Economics

The European Air Traffic Management (ATM) system is responsible for the safe and timely transportation of more than a billion passengers annually. It is a system that depends heavily on technology and is expected to stay on top of the technological advancements and be an early adopter of technologies. Nevertheless, technological change in ATM has historically developed at a slow pace. In this paper, an agent-based model (ABM) of the ATM technology deployment cycle is proposed. The proposed ABM is part of a larger project, which intends to recommend new policy measures for overcoming any barriers associated with technology adoption in ATM. It is a novel and one of the first approaches aiming at simulating the adoption of technology in ATM that combines the organizational point of view, i.e. stakeholders' level, the focus on policy testing and the inclusion of behavioral economics aspects.