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Research review of air traffic management

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  • Cheng-Lung Wu
  • Robert E. Caves

Abstract

As air transport demand keeps growing more quickly than system capacity, efficient and effective management of system capacity becomes essential to the operation of the future global air traffic system. Although research in the past two decades has made significant progress in relevant research fields, e.g. air traffic flow management and airport capacity modelling, research loopholes in air traffic management still exist and links between different research areas are required to enhance the system performance of air traffic management. Hence, the objective of this paper is to review systematically current research in the literature about the issue of air traffic management to prioritize productive research areas. Papers about air traffic management are discussed and categorized into two levels: system and airport. The system level of air transport research includes two main topics: air traffic flow management and airspace research. On the airport level, research topics are: airport capacity, airport facility utilization, aircraft operations in the airport terminal manoeuvring area as well as aircraft ground operations research. Potential research interests to focus on in the future are the integration between airspace capacity and airport capacity, the establishment of airport information systems to use airport capacity better, and the improvement in flight schedule planning to improve the reliability of schedule implementation.

Suggested Citation

  • Cheng-Lung Wu & Robert E. Caves, 2002. "Research review of air traffic management," Transport Reviews, Taylor & Francis Journals, vol. 22(1), pages 115-132, January.
    • Handle: RePEc:taf:transr:v:22:y:2002:i:1:p:115-132
    DOI: 10.1080/01441640110074773
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    Cited by:

    1. Okwir, Simon & Ulfvengren, Pernilla & Angelis, Jannis & Ruiz, Felipe & Núñez Guerrero, Yilsy Maria, 2017. "Managing turnaround performance through Collaborative Decision Making," Journal of Air Transport Management, Elsevier, vol. 58(C), pages 183-196.
    2. Daniel Karapetyan & Jason A. D. Atkin & Andrew J. Parkes & Juan Castro-Gutierrez, 2017. "Lessons from building an automated pre-departure sequencer for airports," Annals of Operations Research, Springer, vol. 252(2), pages 435-453, May.
    3. Ginieis, Matías & Sánchez-Rebull, María-Victoria & Campa-Planas, Fernando, 2012. "The academic journal literature on air transport: Analysis using systematic literature review methodology," Journal of Air Transport Management, Elsevier, vol. 19(C), pages 31-35.

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