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Technology Adoption in Air Traffic Management: A Combination of Agent-Based Modeling with Behavioral Economics
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Health Informatics and Logistics.ORCID iD: 0000-0002-1457-8263
Nommon Solutions and Technologies.
Nommon Solutions and Technologies.
Nommon Solutions and Technologies.
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2021 (English)In: Proceedings of the 2021 Winter Simulation Conference, 2021Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
2021.
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:kth:diva-297565DOI: 10.1109/WSC52266.2021.9715519Scopus ID: 2-s2.0-85126116148OAI: oai:DiVA.org:kth-297565DiVA, id: diva2:1568361
Conference
2021 Winter Simulation Conference
Note

QC 20210618

Available from: 2021-06-17 Created: 2021-06-17 Last updated: 2022-08-19Bibliographically approved

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fulltext(407 kB)215 downloads
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Roungas, BillRaghothama, Jayanth

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • Other style
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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More languages
Output format
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