Forecasting Tourist Arrivals Five-Star Hotel in Antalya, Istanbul and Mugla

Authors : Mehmet Emin AKKAYA

Pages : 244-256

View : 27 | Download : 18

Publication Date : 2020-12-01

Article Type : Research Paper

Abstract :This is a comparative study for the provinces of Antalya, Istanbul and Mugla which has the highest tourist overnight stay numbers of Turkey by time series analyses performed by Linear and MLP regression analyses methods. Annual data range has been used to estimate the tourism demand. Multivariate data have been used. WEKA 3.8 data mining software was used in this study where the estimation methods were applied. In some cases, estimation work has been done on the number of foreign tourists. These results were compared with 2 different regression methods. Different regression analysis methods gave the best results for different tourism destinations in forecasting studies. Determined that the regression analysis that gives the best result for the destination of the forecasting study is determined and the closest values can be reached by the regression analysis which gives the result suitable for the destination.
Keywords : Accommodation Estimates, Tourism Forecasting, Time Series Regression