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  4. An explanatory approach to modeling the fleet assignment in the global air transportation system
 
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An explanatory approach to modeling the fleet assignment in the global air transportation system

Citation Link: https://doi.org/10.15480/882.4866
Publikationstyp
Journal Article
Date Issued
2023-01
Sprache
English
Author(s)
Kühlen, Markus 
Lütjens, Klaus 
Linke, Florian  
Gollnick, Volker  
Institut
Lufttransportsysteme M-28  
TORE-DOI
10.15480/882.4866
TORE-URI
http://hdl.handle.net/11420/12948
Journal
CEAS Aeronautical Journal  
Volume
14
Issue
1
Start Page
255
End Page
269
Citation
CEAS Aeronautical Journal 14 (1): 255–269 (2023-01)
Publisher DOI
10.1007/s13272-022-00622-1
Scopus ID
2-s2.0-85135377042
Publisher
Springer
Peer Reviewed
true
Airlines’ fleet assignment heavily affects the economic and ecological performance of the global air transportation system (ATS). Consequently, it is inevitable to include potential changes of the fleet assignment when modeling and assessing future global ATS scenarios. Therefore, this arti- cle presents a novel explanatory approach to modeling the fleet assignment in the global ATS. The presented approach is based on the formulation and solving of an optimization problem, which describes the fleet assignment in the ATS through a suitable combination of objective function and constraints. While the objective function combines both the airline and the pas- senger perspective on the fleet assignment, the constraints include additional operational and technological aspects. The advantages of the presented approach in comparison to the available models in the literature lie in the overall scenario capability and the consideration of explicit aircraft types instead of simplifying seat categories. The model results are compared with fleet assignments in historic flight schedule data. The calibration and validation results underline the strengths and weaknesses of the presented approach and indicate potential for future improvement.
Subjects
Air transportation system
fleet assignment
global air traffic model
aircraft size
explanatory modeling
DDC Class
330: Wirtschaft
600: Technik
388: Transportation
519: Applied Mathematics, Probabilities
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by/4.0/
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