2 resultados para Accuracy of Hotel Feasibility Study Projections

em SAPIENTIA - Universidade do Algarve - Portugal


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Nowadays the importance of websites to the tourism and hospitality industries is fundamental. Hotels, for instance, spend a huge amount of money improving their websites to show all the activities and amenities that they can provide. There are studies to evaluate website performance based on functionality, usability and other factors; nevertheless, they are not exhaustive. This paper presents a framework for the characterization of hotel and resort websites, that was applied as a case study to the websites of 5-star hotels and resorts that operate in the tourism region of the Algarve, Portugal. This framework allows us to identify a set of features for the hotel and resort websites characterization. From these features, we propose a set of comprehensive indicators, grouping them into ten fundamental information dimensions, as well as the application of these indicators and information dimensions, which allows obtaining quantitative and qualitative results.

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The estimates of the zenith wet delay resulting from the analysis of data from space techniques, such as GPS and VLBI, have a strong potential in climate modeling and weather forecast applications. In order to be useful to meteorology, these estimates have to be converted to precipitable water vapor, a process that requires the knowledge of the weighted mean temperature of the atmosphere, which varies both in space and time. In recent years, several models have been proposed to predict this quantity. Using a database of mean temperature values obtained by ray-tracing radiosonde profiles of more than 100 stations covering the globe, and about 2.5 year’s worth of data, we have analyzed several of these models. Based on data from the European region, we have concluded that the models provide identical levels of precision, but different levels of accuracy. Our results indicate that regionally-optimized models do not provide superior performance compared to the global models.