This study compares the performance of different Artificial Neural Networks models for tourist demand forecasting in a multiple-output framework. We test the forecasting accuracy of three different types of architectures: a multi-layer perceptron network, a radial basis function network and an...

This paper aims to compare the performance of different Artificial Neural Networks techniques for tourist demand forecasting. We test the forecasting accuracy of three different types of architectures: a multi-layer perceptron, a radial basis function and an Elman network. We also evaluate the...

This study attempts to improve the forecasting accuracy of tourism demand by using the existing common trends in tourist arrivals form all visitor markets to a specific destination in a multiple-input multiple-output (MIMO) structure. While most tourism forecasting research focuses on univariate...

This study aims to analyze the effects of data pre-processing on the performance of forecasting based on neural network models. We use three different Artificial Neural Networks techniques to forecast tourist demand: a multi-layer perceptron, a radial basis function and an Elman neural network....

The aim of this paper is to examine whether football can be considered an indicator of development at the international level. An empirical econometric model is designed in order to analyse development in terms of both levels of GDP per capita and GDP growth. Cross-sectional and time series...

Using a dataset from consumption patterns in the island of Gran Canaria collected by the authors, this paper attempts to quantify some non-positive effects of tourism on local destination retail markets for goods and services. In particular, we empirically prove, controlling by factors such as...

Tourism is one of the most important sectors in the global economy and is considered an efficient tool with which to promote economic growth. The case of Spain's economy is well known in this respect; in fact, widespread consensus exists on the part played by tourism in enhancing the...