AQR-IREA
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The appraisal of machine learning techniques for tourism demand forecasting
Machine learning (ML) methods are being increasingly used with forecasting purposes. This study assesses the predictive performance of several ML models in a multiple-input multiple-output (MIMO) setting that allows incorporating the cross-correlations between the inputs. We compare the forecast accuracy of a Gaussian process regression (GPR) model...
Combining economic and tourism indicators to position tourist destinations via perceptual maps
The present study aims to cluster the world’s main tourist destinations according to the growth of the economic performance of the tourist activity and of the tourist and economic development experienced during the last decade. With this objective, we combine the information from a set of tourist and economic indicators for the main 45 tourist dest...
