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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Leandro, F., Andrade, R. A. & Kalakou, S. (2021). Designing aviation networks under Public Service Obligations (PSO): A case study in Greece. Journal of Air Transport Management. 93
Exportar Referência (IEEE) 
F. Leandro et al.,  "Designing aviation networks under Public Service Obligations (PSO): A case study in Greece", in Journal of Air Transport Management, vol. 93, 2021
Exportar BibTeX 
@article{leandro2021_1732197667749,
	author = "Leandro, F. and Andrade, R. A. and Kalakou, S.",
	title = "Designing aviation networks under Public Service Obligations (PSO): A case study in Greece",
	journal = "Journal of Air Transport Management",
	year = "2021",
	volume = "93",
	number = "",
	doi = "10.1016/j.jairtraman.2021.102042",
	url = "https://www.sciencedirect.com/journal/journal-of-air-transport-management/about/aims-and-scope"
}
Exportar RIS 
TY  - JOUR
TI  - Designing aviation networks under Public Service Obligations (PSO): A case study in Greece
T2  - Journal of Air Transport Management
VL  - 93
AU  - Leandro, F.
AU  - Andrade, R. A.
AU  - Kalakou, S.
PY  - 2021
SN  - 0969-6997
DO  - 10.1016/j.jairtraman.2021.102042
UR  - https://www.sciencedirect.com/journal/journal-of-air-transport-management/about/aims-and-scope
AB  - The present paper explores a Greek case study on optimizing the design of aviation
networks under Public Service Obligations (PSO). Based on previous research on
airline PSO networks applied to the case studies of the Azores and Norway,
optimization models are adapted to minimize not only the cost to the airline, but also
the total social costs. Different predictive models to estimate demand are developed
and included in the optimization models. It is found that after applying the developed
demand and optimization models, the total network costs can be reduced significantly,
compared to the actual network´s operation ranging from 4% to 20%.
ER  -