Tourism development planning requires consideration of indicators regarding the intensity of tourist activity within destination and measure that should not be exceeded in further improvement of this activity, in order to prevent disturbing the needs of local community and sustainability of local environment. The village Zlakusa is located within the territory of the City of Užice and it represents an important tourism destination of Southwestern Serbia. Rural tourism of Zlakusa is characterized by its authenticity and recognition, regarding the pottery and ethnopark called "Terzića avlija". Accordingly, tourist function indicators were used in this research: tourist accommodation density, Defert Baretje's index, Charvat's index and Schneider's index, with the aim of emphasizing the importance of rural potentials of Zlakusa for tourism development within this village, but also within the whole territory of the City of Užice. Research results showed that tourism is important industry within Zlakusa, with necessity of its further affirmation on tourist market and its adaptation to contemporary needs of modern tourists. Also, research results showed that Zlakusa participates in total tourist arrivals with 18%, as well as in total tourist overnights with 13% and it comprises 1.9% of accommodation capacities of the overall tourism development within the City of Užice for observed period (2008-2016). Therefore, results of this study actually show that Zlakusa is highly oriented towards tourism industry, which is the main reason of necessity for further improvement of conditions for its development, especially in the case of rural tourism, without threatening the local community and local environment.
This study is devoted to the research of spatial-temporal variation of electricity generation from the kilowatt-peak photovoltaic system made of crystalline silicon solar cells. The research was conducted in the territory of Serbia using the model for estimation photovoltaic performances as a function of incident irradiance and module temperature. Preparation of input data and calculation of the final results was done within the geographical information system. Some of the required raster data, like solar irradiance and wind speed, were already available, while air temperature raster was created from discrete set of observed data using the regression-kriging model. Obtained results were presented in the form of raster maps that enabled further analysis and discussion about new findings. The analysis of seasonal variations reveals that during spring and summer months photovoltaic systems are producing up to 70% of total annual electricity yield. In terms of the spatial distribution, the most promising areas for electricity generation are located in the south part of Serbia and along main river valleys. In addition, discussion part addresses the issue of data imperfection caused by the accuracy of the selected model, as well as quality and availability of data series.
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