1000 resultados para Natural attractions


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A presente dissertação procurou identificar os principais problemas e desafios que o Processo de Planeamento Urbano Sustentável (Amado,2005) coloca ao nível local no contexto insular e, através do desenhar de soluções, promover o desenvolvimento equilibrado, coeso e sustentável do respetivo território. Através de uma análise teórica procurou-se conhecer e compreender o Quadro Legal do Ordenamento do Território em Cabo Verde. A fase inicial do Ordenamento do Território no País, com a aprovação da Lei de Bases do Ordenamento do Território e Planeamento Urbanístico na década de 90, bem como a insularidade do território, a mão-de-obra pouco qualificada e os poucos recursos financeiros são os grandes desafios que o país enfrenta a nível do Ordenamento do Território. O núcleo urbano de Chã de Caldeiras, que pertence ao município de Santa Catarina do Fogo, Freguesia de Santa Catarina do Fogo, é caraterizado por uma paisagem única, comportando zonas de reserva como o Parque Natural do Fogo e pela proximidade ao vulcão, sendo uma das localidades com maiores atrativos naturais no arquipélago de Cabo Verde. Ora, devido à inexistência de qualquer instrumento de gestão territorial até à atualidade, a área de intervenção do Plano Detalhado, apresenta uma fraca hierarquização da rede urbana e malha viária, construções inacabadas e de fraca qualidade, inexistência de praças e locais de convívio e carencias em termos de infraestruturas básicas (agua, luz e saneamento). Este trabalho pretende ser um contributo para um Desenvolvimento Sustentável para Chã de Caldeiras, (re)qualificando o espaço urbano, zelando pelos interesses da população local e garantindo desta forma a melhoria da qualidade de vida num espaço temporal alargado.

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Despite China's rapid growth in inbound tourism, the nature of its Canadian tourist market has been insufficiently studied. In response to this need, the objectives of this study are to identify China's destination image in Canadian students' minds, their possible internal motivations for visiting China as well as examining demographic influences on people's destination image formation. The study reviews image formation process and travel motivation categorisation, discusses their relationship, and implements Baloglu and McCleary's (1999) perceptual and affective image formation model and "push and pull factors" theory as its framework. A self-administered survey was applied to 424 undergraduate students in a Canadian university in early 2004. Exploratory factor analyses were conducted to identify perceived images and travel motivation. Summated means were calculated to illustrate the affective attitudes. A series of f-test and ANOVA tests were employed to examine the influence of demographics. An open-ended question format was adopted to analyse other images, motivations and visitation barriers that students may have. Findings demonstrate that cultural and natural attractions are the predominant image which the Canadian students have of China'; some stereotypes and negative images still influence the students' perception; travel service quality is largely unknown; increasing knowledge and seeking excitement and fun are the significant motivators in the likelihood of the Canadian students choosing to visit China; and personal interests may be a factor that significantly influences an individual's destination image and travel motivation. Raising awareness and increasing familiarity through promotion are suggested as methods to create a positive destination image of China.

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Incluye Bibliografía

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Pós-graduação em Geociências e Meio Ambiente - IGCE

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This study sought to address the tourism system in its various strands, compared to socioeconomic and environmental issues. Contextualizing the theme of sustainable tourism, or ecotourism, the reality of the city of Ipeúna, there is the incipient state of efforts in this activity because, predominantly, its territory is occupied by the monoculture of cane sugar and pastures, which damages the maintenance of vegetation fragments, as well as degrading areas that often could take a value tour. Through environmental planning, was intended to raise major issues of interface tourism / environment in order to seek alternatives to the implementation and development of tourism in Ipeúna. As a result, it presents an environmental diagnosis of the study area through which to assess the current status of tourist attractions in relation to environmental and socio-economic dynamics of the city.

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Rural tourism is relatively new product in the process of diversification of the rural economy in Republic of Macedonia. This study used desk research and life story interviews of rural tourism entrepreneurs as qualitative research method to identify prevalent success influential factors. Further quantitative analysis was applied in order to measure the strength of influence of identified success factors. The primary data for the quantitative research was gathered using telephone questionnaire composed of 37 questions with 5-points Likert scale. The data was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) by SmartPLS 3.1.6. Results indicated that human capital, social capital, entrepreneurial personality and external business environment are predominant influential success factors. However, human capital has non-significant direct effect on success (p 0.493) nonetheless the effect was indirect with high level of partial mediation through entrepreneurial personality as mediator (VAF 73%). Personality of the entrepreneur, social capital and business environment have direct positive affect on entrepreneurial success (p 0.001, 0.003 and 0.045 respectably). Personality also mediates the positive effect of social capital on entrepreneurial success (VAF 28%). Opposite to the theory the data showed no interaction between social and human capital on the entrepreneurial success. This research suggests that rural tourism accommodation entrepreneurs could be more successful if there is increased support in development of social capital in form of conservation of cultural heritage and natural attractions. Priority should be finding the form to encourage and support the establishment of formal and informal associations of entrepreneurs in order to improve the conditions for management and marketing of the sector. Special support of family businesses in the early stages of the operation would have a particularly positive impact on the success of rural tourism. Local infrastructure, access to financial instruments, destination marketing and entrepreneurial personality have positive effect on success.

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Imposing a hotel tax in Chautauqua County, New York, which has natural attractions and the proximity of viable markets, might be highly likely to contribute significantly to the economic climate for the county. The authors examine the likely impact of hotel taxes, review hotel tax rates in cities across the country and in New York State, recommend revenue distribution, and propose a process by which hotel tax revenues can be equitably and efficiently disbursed

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Business tourism is one of tourist segments with different market characteristics in relation to others segmentations, such as low seasonality, there is no requirement of natural attractions, it serves as destination projection and it generates profitable larger numbers. Due to the context around business travels, the hotel so many times has a fundamental whole among the elements of the production chain in this segmentation. Business tourism in Teresina is the primary segmentation of the capital, since it represents almost 70% of hotel demand; hence this research has as objective to evaluate through the perceptions of business travelers, the level of quality services of hotels of Teresina. The research is exploratory and descriptive, of functionalist character. This study is characterized by qualitative and quantitative research, supported by a basis of methodological pluralism. For primary data collection was performed applying a suitable research instrument of SERVPERF model (Service Performance). The universe of this study were Teresina's accommodations, restricted to only those that fit in hotel category and it was inside metropolitan area of Teresina. The study subjects were business travelers who were hosted in these hotels. For the analysis, it was considered certain factors: descriptive analysis, factor analysis, correlation matrix analysis of the variables; It was still compiling a graphic of lexicons obtained in the survey about respondent's the notion of quality of vision in the hotel service; Finally, qualitative analysis was based on the theories of marketing, targeting and quality of tourism services applied. The results show that the Teresina hotel service is on a regular average, especially for Reliability and Safety dimensions were highlighted. Whereas, the factor analysis showed the emergence of two factors to explain "Empathy" dimension, one of this is about the organization and the other one is about consumer. And by Lexicometria was possible to observe the importance to the customer of other variables such as: personal aspects, price and location for this tour segmentation.

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Tourism represents a socio-economic activity to generate local and regional development and at the same time contribute to the valuation and conservation of natural and cultural landscape. From this premise, we believe that the study area - PESM – Núcleo Santa Virginia and surroundings - has a great tourism potential, which can be further explored through public policies that value and at the same time assist the conservation of the natural and cultural landscape of the region. Therefore, this project, which arises from a research project conducted by the National Council for Scientific and Technological Development (CNPq) in partnership with the Forestry Institute (IF), analyzes the possibilities and limitations of the attractions and tourist activities in areas of intensive, extensive use and around this area. Through literature research and application of semi-structured questionnaires to the main agents of local tourism important information for the characterization of tourism activities in the study area were obtained, as well as to identify gaps in planning instruments and management about PESM - Núcleo Santa Virginia. Through this diagnosis, we intend to provide support for the development of tourism in Núcleo Santa Virginia and its surrounding area, seeking to conserve natural and cultural heritage and improving the quality of life of local people

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Jute fiber is the second most common natural cellulose fiber worldwide, especially in recent years, due to its excellent physical, chemical and structural properties. The objective of this paper was to investigate: the thermal degradation of in natura jute fiber, and the production and characterization of the generated activated carbon. The production consisted of carbonization of the jute fiber and activation with steam. During the activation step the amorphous carbon produced in the initial carbonization step reacted with oxidizing gas, forming new pores and opening closed pores, which enhanced the adsorptive capacity of the activated carbon. N2 gas adsorption at 77K was used in order to evaluate the effect of the carbonization and activation steps. The results of the adsorption indicate the possibility of producing a porous material with a combination of microporous and mesoporous structure, depending on the parameters used in the processes, with resulting specific surface area around 470 m2.g-1. The thermal analysis indicates that above 600°C there is no significant mass loss.

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Conventional reflectance spectroscopy (NIRS) and hyperspectral imaging (HI) in the near-infrared region (1000-2500 nm) are evaluated and compared, using, as the case study, the determination of relevant properties related to the quality of natural rubber. Mooney viscosity (MV) and plasticity indices (PI) (PI0 - original plasticity, PI30 - plasticity after accelerated aging, and PRI - the plasticity retention index after accelerated aging) of rubber were determined using multivariate regression models. Two hundred and eighty six samples of rubber were measured using conventional and hyperspectral near-infrared imaging reflectance instruments in the range of 1000-2500 nm. The sample set was split into regression (n = 191) and external validation (n = 95) sub-sets. Three instruments were employed for data acquisition: a line scanning hyperspectral camera and two conventional FT-NIR spectrometers. Sample heterogeneity was evaluated using hyperspectral images obtained with a resolution of 150 × 150 μm and principal component analysis. The probed sample area (5 cm(2); 24,000 pixels) to achieve representativeness was found to be equivalent to the average of 6 spectra for a 1 cm diameter probing circular window of one FT-NIR instrument. The other spectrophotometer can probe the whole sample in only one measurement. The results show that the rubber properties can be determined with very similar accuracy and precision by Partial Least Square (PLS) regression models regardless of whether HI-NIR or conventional FT-NIR produce the spectral datasets. The best Root Mean Square Errors of Prediction (RMSEPs) of external validation for MV, PI0, PI30, and PRI were 4.3, 1.8, 3.4, and 5.3%, respectively. Though the quantitative results provided by the three instruments can be considered equivalent, the hyperspectral imaging instrument presents a number of advantages, being about 6 times faster than conventional bulk spectrometers, producing robust spectral data by ensuring sample representativeness, and minimizing the effect of the presence of contaminants.

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Inductively Coupled Plasma Optical Emission Spectrometry was used to determine Ca, Mg, Mn, Fe, Zn and Cu in samples of processed and natural coconut water. The sample preparation consisted in a filtration step followed by a dilution. The analysis was made employing optimized instrumental parameters and the results were evaluated using methods of Pattern Recognition. The data showed common concentration values for the analytes present in processed and natural samples. Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA) indicated that the samples of different kinds were statistically different when the concentrations of all the analytes were considered simultaneously.