Monitoring and Evaluation of Livability in Villages around Miandoab City

The purpose of this study is to Monitoring and Evaluation the Livability in the villages around the city of Miandoab. Therefore, in terms of exploratory purpose, in terms of descriptive-analytical method, and in terms of philosophical basis, it is mixed. It is also a field-library research in terms of data collection methods. The study area includes 23 villages within a radius of 5 km of Miandoab city, which according to the 2016 census have a population of 28866 people and 8404 households. The sample size includes two groups of heads of households, experts and rural managers who were selected as a sample using Cochran's formula of 367 rural households. Villages are ranked in terms of viability using the SAW method. Then, in order to study the mentalities regarding the effective factors in the livability of the villages around the city of Miandoab, the combined method of Q and exploratory factor analysis were used. The results showed that the villages of Shabilvi-Sofla and Shabilvi-Olia with the final score of 0.100 and 0.098, respectively, have the first and second ranks in terms of Livability. Also, Sogli-Tappeh village with a final score of 0.095 and Gaumishgoli with a final score of 0.093 are in the next ranks. Among them, the villages of Khairabad with a final score of 0.061, Dolatabad with a final score of 0.063 and Hoyeh Khan with a final score of 0.065 are in the last ranks in terms of Livability among the sample villages. The most important factors influencing the spatial difference of villages in terms of Livability are: 1) Ease of access and existence of water resources, 2) High level of employment and income, 3) Existence of opportunities for participation and cooperation of popular groups, 4) Trust of villagers in each other in the rural environment and 5) Responsibility of villagers to prevent environmental pollution Village. Among these, the first factor with a specific value of 4.12 and a percentage of variance of 19.38 had the greatest effect in this field.