Vedi metadata
Cite as
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Titolo completo (Inglese)
Academicus International Scientific Journal
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Editore
Academicus International Scientific Journal
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ISSN
20793715 (Rivista Stampata)
23091088 (Rivista Online)
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Numero del volume
10
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Data del fascicolo (YYYY/MM)
2014/07
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Titolo completo (Inglese)
Artificial neural networks in forecasting tourists’ flow, an intelligent technique to help the economic development of tourism in Albania.
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Di (autore)
Affiliazione
University “Pavaresia” Vlore, Albania, Doctoral Candidate
Affiliazione
"University of Vlore ""Ismail Qemali"", Albania", Dr.
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Numero di Pagine
10
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Prima Pagina
202
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Ultima Pagina
211
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Lingua del testo
Inglese
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Data di publicazione
2014/07
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Copyright
2014 Academicus
Descrizione principale
Tourism plays an important role in many economies and contributes greatly to the Gross Domestic Product. In the past eight years, the number of tourist arrivals in Albania has increased rapidly, which resulted in increasing the number of tourist nights and revenue from tourism. Tourism also provides new sources of income for the country, without having that local citizen to pay more taxes. This can be achieved by income from parking, tourist taxes, leased apartments, sales information, etc. Early prediction on the tourist inflow mainly focuses on econometric models that have as a main feature the tourism demand being predicted by analysing factors that affect the tourists’ inflow. This approach results in being difficult, time-consuming and also expensive to determine econometric models. Traditional time series methods, such as exponential smoothing method, grey prediction method, linear regression method, ARIMA method etc., are more appropriate for the prediction of the tourist inflow. However, since they don’t apply a learning process on sample data, it is difficult for them to realize complicated and non-linear prediction on tourist inflow. The aim of this paper is to present the neural network usage in the tourists’ number forecasting and to determine the trends of the future tourist inflow, thus helping tourism management agencies in making scientific based financial decisions.
Elenco citazioni del
10.7336/academicus.2014.10.14
ISSN
20793715
Titolo della Testata
Academicus International Scientific Journal
Numero del fascicolo
6
Data del fascicolo
2012
Prima Pagina
41
Titolo completo
Tourism development, touristic local taxes and local human resources: A stable way to improve efficiency and effectiveness of local strategies of development
Autore
Musaraj, Arta [persona]
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