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Urban Public Service structuring the form and nature of the physical, social and spatial city; Therefore injustice in how to distribute it, the structure, on nature of the city and class segregation affects urban areas and Urban management is faced with serious challenges. In the same vein, the main purpose of this study, Spatial analysis of enjoyment levels ten main areas of the Shiraz city of Urban service. The research method is descriptive-analytical and its type is practical. In collecting data library method and field has been used. The statistical population of ten main areas of the Shiraz city that according to the 10 overall index and 49 components crucial public services Assessed. For analysis and grading the urban districts from the view point of enjoing public services, some models including Fuzzy TOPSIS, VIKOR and WASPAS have been used and for reaching to a unified result in data analysis of different models, the blended average of ranks has been used. The results of this method showed that Areas 1, 2 and 4 have in the first rank, areas 3, 6 and 7 in the category semi, Districts 8 and 10 low Enjoyment and Zones 5 and 9 enjoyment been lacking in class. The findings of this study show that the distribution of public services in areas of City Shiraz with Spatial justice approach does not match .At the end of this article, strategies according to research findings been proposed. 

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Natural parameters are one of the main determinants of the physical development of cities and settlements. In a mountainous area, the effects of these factors have become a barrier to development and can have natural hazards. In this research, it is tried to identify the optimal directions of physical development of the city of Nurabad as a relatively high region by identifying its effective factors and evaluating it. To achieve this, seven effective indicators (elevation, gradient, gradient direction, lithology, distance from the fault, distance from the waterway) were used and to assess, model, and predict areas suitable for physical development of the city from Landsat satellite imagery and Models of FUZZY-AHP and Makov and Markov's predictions have been used. So that each of the layers is fuzzy according to the fuzzy membership functions in GIS Arc 10.3 software. An analytical comparison on the appropriate areas of the city based on the critical points with the appropriate zones. Finally, the final map with the two models was classified into five classes. The results of the research showed that up to 1404 horizons of the city were developed eastwards in Although this pathway is not a suitable route, due to the existence of the main Kazeroun fault and the main waterway, the most important risk factors in the city are considered to be the best place for the development of the city of the western and southwestern regions of the region, which is 13% of the area of ​​the basin Includes.