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CLUSTERING EUROPEAN COUNTRIES BY POST-COVID-19 AIRPASSENGER RECOVERY (2018–2023): AN EXPLORATORY ANALYSIS

Ivan Jajić et al.

Acta Turistica2025https://doi.org/10.22598/at/2025.37.2.213article
ABDC C
Weight
0.50

What the paper says

Autori rada analiziraju Eurostatove podatke o putničkom zračnom prometu u 29 europskih zemalja u godinama 2018. (prije COVID-a), 2020. (COVID-19) i 2023. (oporavak). Primjenom metode klasteriranja k-srednje vrijednosti na standardiziranim varijablama izdvajaju se heterogeni obrasci oporavka koji grupiraju zemlje u tri klastera. Odabir broja klastera temelji se na metodi lakta, Silhouette pristupu i Calinski–Harabaszovu indeksu. Rezultati pokazuju da je oporavak do 2023. godine ostao neujednačen. Analiziraju se svi klasteri, uz postotne promjene i provjere robusnosti. Raspravljaju se implikacije i politike u zračnom prometu i turizmu (planiranje kapaciteta, razvoj ruta, ciljane mjere) uz naglašenu ulogu informacijskih tehnologija u pospješivanju analitičkih procesa.

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https://doi.org/https://doi.org/10.22598/at/2025.37.2.213

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@article{ivan2025,
  title        = {{CLUSTERING EUROPEAN COUNTRIES BY POST-COVID-19 AIRPASSENGER RECOVERY (2018–2023): AN EXPLORATORY ANALYSIS}},
  author       = {Ivan Jajić et al.},
  journal      = {Acta Turistica},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.22598/at/2025.37.2.213},
}

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CLUSTERING EUROPEAN COUNTRIES BY POST-COVID-19 AIRPASSENGER RECOVERY (2018–2023): AN EXPLORATORY ANALYSIS

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.