High costs for the construction of park and green spaces and great importance attached to the ecological relationships show the great significance of proper site selection for parks and green spaces. Site selection shall be made in such a way to provide easy access to these places for all citizens. This action will become more important when the population is on the increase, the cities are growing more and there is not a uniform distribution of population in various area of the city. If the proper site selection for parks is made in view of the required per captia, there will be lower rate of commutation in the various areas of the city especially in the highly-populated areas. The site selection of parks has properly been made if the parks are constructed in the vicinity of highly-populated administrative, residential, educational and health areas and the main streets. Several factors such as population density, far or close distance to streets, distance from highly-populated areas and value of land are considered in process of site selection. It should be noted that the parks should not be constructed in the main trading centers, administrative and educational centers or within the distance of 100 meters of the main parks. The studies made for this research have shown that the said factors have different effects on the site selection for parks. Experts' opinions also approve this view. Analytical Hierarchical Process (AHP) is a better method for the valuation of the above factors because of experts' opinions, pair comparison and modeling of qualitative and quantitative criteria. The site selection is made for parks on the AHP basis. After making a review of the various indexing methods such as fuzzy logic, Boolean method and index overlay, it was found that the fuzzy logic has been recognized the best. The results of the indexing have shown that the proper site selection can be made for parks with using thi model. This model will provide access for more people and reduce the land appropriation costs of parks construction to the minimum.
