Analysis of Urban Public Space Using Fuzzy Logic Inference Model (Case Study: Districts 1 and 2, Zabol)

Urbanization is one of the most obvious signs of modernity influence on the lives of human societies and Belonging to a community and participating in social spaces is a vital need of modern man. Using urban public spaces for people in various communities differ significantly in variables such as age, gender, socialgroups,and racial- ethnic minorities. These factors affect the amount and the way people take part in urban public spaces. The presenr research attempted to evaluate urban public spaces in the city of Zabol. In other words, it has been tried to study the current situation of the public spaces in the city and to identify their distribution and the way they are established. Moreover, the area and per capita of public spaces and their level of development in the city of Zabol were studied based on the selected indices in this descriptive – analytical research. Based on the comprehensive plan of the city, the samples were taken from districts 1 and 2. The public spaces were divided based on their main and sub- indices. Implementation and analysis of the research results were also carried out using fuzzy logic inference. The results were presented in terms of the models’ output to explain the current situation of the public spaces of the city and its compliance with optimal situation.The research results showed that there was no significant correlation between the physical and human dimensions of the public space of both districts. Moreover, the overall index of public space had a significant relationship just with the human dimension of development (RPS, HPS, = 0.821), yet, it had no significant relationship with its physical dimension. (RPS,SPS=0.314).