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Cite as
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Vollständiger Titel (Englisch)
Academicus International Scientific Journal
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Verlag
Academicus International Scientific Journal
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ISSN
20793715 (Gedruckte Zeitschrift)
23091088 (Online-Zeitschrift)
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Nummer des Bandes
10
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Erscheinungsdatum der Ausgabe (YYYY/MM)
2014/07
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Vollständiger Titel (Englisch)
Artificial neural networks in forecasting tourists’ flow, an intelligent technique to help the economic development of tourism in Albania.
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Von (Autor)
Zugehörigkeit
University “Pavaresia” Vlore, Albania, Doctoral Candidate
Zugehörigkeit
"University of Vlore ""Ismail Qemali"", Albania", Dr.
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Number of Pages
10
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Erste Seite
202
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Letzte Seite
211
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Sprache des Textes
Englisch
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Erscheinungsdatum
2014/07
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Copyright
2014 Academicus
Abstract/Hauptbeschreibung
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.
Zitierungen des
10.7336/academicus.2014.10.14
ISSN
20793715
Titel der Zeitschrift
Academicus International Scientific Journal
Nummer der Ausgabe
6
Erscheinungsdatum der Ausgabe
2012
Erste Seite
41
Vollständiger Titel
Tourism development, touristic local taxes and local human resources: A stable way to improve efficiency and effectiveness of local strategies of development
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Musaraj, Arta [person]
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