A binary logistic regression model to identify key aspects that enhance global hub airports status-Reference-Cited by-同舟云学术

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A binary logistic regression model to identify key aspects that enhance global hub airports status

Published:2024-12 Issue: Volume:3 Page:100035
ISSN:2941-198X
Container-title:Journal of the Air Transport Research Society
language:en
Short-container-title:Journal of the Air Transport Research Society

Author:

Bordeaux Gabriel^ORCID,Couto António

Funder

Foundation for Science and Technology

Publisher

Elsevier BV

Reference54 articles.

1. ACI – Airports Council International (2023). Global passenger traffic expected to recover by 2024 and reach 9.4 billion passengers. Advisory Bulletins. URL: https://aci.aero/2023/09/27/global-passenger-traffic-expected-to-recover-by-2024-and-reach-9-4-billion-passengers/

2. Logistics global network connectivity and its determinants. A European City network analysis;Akhavan;Journal of Transport Geography,2020

3. The determinants of air passenger traffic at turkish airports;Albayrak;Journal of Air Transport Management,2020

4. Network hub location problems: The state of the art;Alumur;European Journal of Operational Research,2008

5. Airport Operations;Ashford,2013

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