Scenario Forecasting Tourist Flows during the COVID-2019 Pandemic

Zaborovskaia, Olga; Sharafanova, Elena E.; Максанова, Л. Б.

doi:10.14716/ijtech.v11i8.4577

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Povezani Radovi1

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2021

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“…Njihova studija se odnosi na period pre pojave virusa Covid-19. Postoji nekoliko radova koji su se bavili predvidanjem oporavka turizma usred epidemije izazvane virusom Covid-19, kao što su (Zaborovskaia, et al, 2020), (Zhang, et al, 2021) i (Fotiadis, et al, 2021). Navedeni radovi s u , s v a k i s a s v o g a s p e k ta , se b a v i l i predvidanjem u pojedinim oblastima, za koje su pravili predvidanje.…”

Section: Povezani Radoviunclassified

Predicting the number of tourists using machine learning

Petrović¹,

Ćebić²,

Beljić³

2021

Turističko poslovanje

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This paper provides an overview of current models of machine learning from time series and their application for the purpose of predicting the number of tourist visits in the coming period. The emergence of the Covid-19 virus has generally had a major impact on Tourism and has introduced great uncertainty in this area. The application of machine learning and an attempt to predict the number of tourist visits in the coming period, can be useful to those who deal with the offer in this area.

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Section: Povezani Radoviunclassified