Recreational sites are considered a vital part of urban activities in cities. They contribute to strengthening social ties and provides possibilities for change in behaviour, attitudes and, customs, and creating new concepts. In this paper, an effective model based on fuzzy logic and Artificial Neural Networks (ANN) has been proposed for recreational allocation in Hilla. The efficiency of recreational facilities depends on their geospatial distribution and it should be considered in the allocation phase. The proposed models were designed on the population density and the distance to built-up areas, roads, green areas, railway and, water bodies. The results showed that the fuzzy model outperformed the ANN model. On the other hand, its implementation cost was much less than the ANN algorithm. The proposed allocation model could provide valuable information for managers when locating recreational facilities in Hilla and can be prevented from the waste of national resources in sustainable cities.

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