2 resultados para Cape May Region (N.J.)--Maps, Tourist.

em ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal


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RESUMO: Esta dissertação visa dar uma contribuição para o desenvolvimento do turismo de STP (São Tomé e Príncipe). Foram consideradas variáveis como a experiência turística, satisfação turística, imagem turística e a intenção de recomendar a região/país, de modo a aferir as percepções dos turistas estrangeiros relativamente à avaliação da imagem turística, atendendo que o país possui um conjunto de características naturais para a prática do turismo. Neste contexto, foi aplicado um inquérito aos turistas na capital de S.Tomé (nomeadamente em, hotéis, residenciais, restaurantes, bares e no Aeroporto Internacional de São Tomé) entre os meses de Março a Maio de 2010. O estudo desenvolvido tem duas vertentes, a exploratório/descritivo e conclusiva, com ênfase na análise do tipo qualitativo e quantitativo. Utilizou-se igualmente a análise de regressão, a qual permitiu perceber a relação entre as variáveis identificadas, constatando-se que a percepção de imagem global, o passa-palavra positiva e a intenção de voltar depende da identidade do local e dos alimentos e bebidas. ABSTRACT: This dissertation aims to make a contribution to the development of tourism STP (Sao Tome and Principe). Several variables were regarded, such as the tourism experience, tourist satisfaction, tourism image and intention to recommend the region / country in order to gauge the perceptions of foreign tourists with regards to the evaluation of the tourism image, given that the country has a set of natural features for practice tourism. In this context, a survey was administered to tourists in the capital of São Tome and Principe, including hotels, guesthouses, restaurants, bars and the international airport of São Tomé during the months of March to May 2010. The developed study has two components, exploratory / descriptive and conclusive, with emphasis on qualitative and quantitative analysis. It is also used regression analysis, which allowed us to perceive the relationship between the variables identified, noting that the perception of global image, the positive word of mouth and intention to return depends on the identity of the place and food and beverages.

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The North Atlantic Oscillation (NAO) is an important large-scale atmospheric circulation that influences the European countries climate. This study evaluated NAO impact in air quality in Porto Metropolitan Area (PMA), Portugal, for the period 2002-2006. NAO, air pollutants and meteorological data were statistically analyzed. All data were obtained from PMA Weather Station, PMA Air Quality Stations and NOAA analysis. Two statistical methods were applied in different time scale : principal component and correlation coefficient. Annual time scale, using multivariate analysis (PCA, principal component analysis), were applied in order to identified positive and significant association between air pollutants such as PM10, PM2.5, CO, NO and NO2, with NAO. On the other hand, the correlation coefficient using seasonal time scale were also applied to the same data. The results of PCA analysis present a general negative significant association between the total precipitation and NAO, in Factor 1 and 2 (explaining around 70% of the variance), presented in the years of 2002, 2004 and 2005. During the same years, some air pollutants (such as PM10, PM2.5, SO2, NOx and CO) present also a positive association with NAO. The O3 shows as well a positive association with NAP during 2002 and 2004, at 2nd Factor, explaining 30% of the variance. From the seasonal analysis using correlation coefficient, it was found significant correlation between PM10 (0.72., p<0.05, in 2002), PM2.5 (0 74, p<0.05, in 2004), and SO2 (0.78, p<0.01, in 2002) with NAO during March-December (no winter period) period. Significant associations between air pollutants and NAO were also verified in the winter period (December to April) mainly with ozone (2005, r=-0.55, p.<0.01). Once that human health and hospital morbidities may be affected by air pollution, the results suggest that NAO forecast can be an important tool to prevent them, in the Iberian Peninsula and specially Portugal.