Urban green space is among the most significant land uses which has been referred to as the lungs of cities. Since the main objectives of urban planning are health, comfort, and beauty, site selection of urban green space is regarded as one of the most important element
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Urban green space is among the most significant land uses which has been referred to as the lungs of cities. Since the main objectives of urban planning are health, comfort, and beauty, site selection of urban green space is regarded as one of the most important elements of the urban environment having a large contribution to space utility and amenity for citizens. So, paying special attention to space – spatial organization of this use is an essential step in ensuring the welfare of citizens. The aim of the present study is practical- developmental taking advantage of a descriptive and analytical method. Here, using the tools available in the ARC GIS 10.3 software and the analytical means of the GeoDa software, an analysis of the spatial distribution of green space use in urban areas of Ardebil city is presented, and ultimately, it has been attempted to provide solutions for optimization of the status quo. In this study, the library – field research method were used to gather the basic required data. Moreover, Moran’s Bivariate correlation index (Moran’s I) is used to analyze the spatial distribution of green spaces, the relationship between the per capita green space distribution with the population density of the areas, and the rate of the green space area with the area of each region is assessed. The analytical results of the Bivariate Moran’s I indicated a negative spatial autocorrelation (Li) between population density and per capita green space in the regions of Ardebil city. The analysis of the relationship between the area of the green spaces and the urban areas of Ardebil showed no significant relationship between them. In other words, an increased population density and urban area of Ardebil could not improve its per capita and the green space use area.
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