808 resultados para 150602 Tourism Forecasting
Resumo:
An examination of New Orleans's long history of culinary tourism dating back to the early 1800s.
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Mediterranean islands exemplify well the interactions between tourism, heritage and culture on islands. After an introduction that considers their heritage and the pressures which might be applied by tourism because of insular characteristics such as scale, the paper considers the Spanish island of Mallorca as a case study. First its history and consequent heritage is identified and then various stages in its tourism development, which might be recognized in Butler’s model, are treated with particular reference to two very different foreigner commentators on the island, George Sand and Robert Trimnell. The mass market tourism exemplified by Trimnell has brought a reaction and in recent decades Mallorca has given much more consideration to its environment and heritage, illustrated here through the example of the district of Calvià and its Local Agenda 21 policies. This has seen a considerable impact on the island’s tourism and marketing initiatives, as well as upon its natural environment.
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In this reply to Hospers' “Localization in Europe's Periphery: Tourism Development in Sardinia” by Gert-Jan Hospers (2003), we argue that the author's advocacy of localized economic policies as a viable means to the economic development of Sardinia does not take into account current institutional assets that prevent Sardinia from pursuing localized interests effectively. We first discuss the historical background of these institutional assets, highlighting that a top-down approach to decision-making has characterized relations between Sardinia and the central state for most of the modern era. We then discuss the institutional and economic impediments to Sardinian attempts to pursue localized policies in light of recent institutional conflicts between region and central state. Our conclusion is that the localization of economic strategies necessitates entwined localization of decision-making powers in order to be effective.
Resumo:
Artificial neural networks (ANNs) can be easily applied to short-term load forecasting (STLF) models for electric power distribution applications. However, they are not typically used in medium and long term load forecasting (MLTLF) electric power models because of the difficulties associated with collecting and processing the necessary data. Virtual instrument (VI) techniques can be applied to electric power load forecasting but this is rarely reported in the literature. In this paper, we investigate the modelling and design of a VI for short, medium and long term load forecasting using ANNs. Three ANN models were built for STLF of electric power. These networks were trained using historical load data and also considering weather data which is known to have a significant affect of the use of electric power (such as wind speed, precipitation, atmospheric pressure, temperature and humidity). In order to do this a V-shape temperature processing model is proposed. With regards MLTLF, a model was developed using radial basis function neural networks (RBFNN). Results indicate that the forecasting model based on the RBFNN has a high accuracy and stability. Finally, a virtual load forecaster which integrates the VI and the RBFNN is presented.