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ŠUMARSKI LIST 9-10/2018 str. 38     <-- 38 -->        PDF

gardens, which can result in the improvement of urban residents’ physical health (Jennings et al., 2016). According to Sandström et al. (2006) and Kong et al. (2010) the functional network of UGS contributes to the preservation of ecological balance and the sustainable use of biological resources. Optimal location and planning of green spaces, while taking into account the infrastructural and demographic needs of the city, have the potential to mitigate the negative effects of urbanization, fostering sustainable development, which ultimately makes the city more attractive by increasing the quality of life (Van Herzele and Wiedemann, 2003; Wolch et al., 2014; Gupta et al., 2016). Sandström (2002) states that UGS are necessary for the ecologically supportable function of cities, because of their influence on everyday recreation, the preservation of biodiversity (Gunnarsson et al., 2017), city’s cultural identity, the maintenance and improvement of the overall environmental quality, and their contribution to technical problem-solving through natural solutions. Usually, public UGS are usually not equally and fairly distributed (Oh and Jeong, 2007; So, 2016), especially in the terms of their accessibility to different ethnic/religious groups, or people with different incomes (Germann-Chiari and Seeland, 2004; Jesdale et al., 2013). The spatial framework of the research was the settlement of Zadar (Fig. 1), which according to the 2011 Census of the population, households and dwellings had 71,471 inhabitants (Šiljeg, 2016). The level of data processing and UGS accessibility indicator modelling was the statistical circle*. The objectives of this research were to:
1) develop a GIS database of UGS for the settlement of Zadar according to the methodology of Urban Green Belts Project (UGB) WPT 1 Activity 1.1 (Zadar Nova, 2016);
2) determine the UGS accessibility according to the Accessible Natural Greenspace Standard;
3) generate the UGS accessibility indicator on the basis of seven objective measures;
4) compare the derived indicator with the subjective perception of the population.