Analysis of the Effect of Rural Public Spaces Vitality on Increasing the Mental Quality of life of Villagers (Case Study: Binaloud County)

The low quality of life in rural areas and, as a result, the migration of rural people to cities has led to numerous social, economic and environmental problems in rural areas and in cities. Accordingly, the aim is to identify the relationship between the vitality of the villagers and the existence of rural public spaces; Investigating the necessity of forming and paying attention to public spaces in villages and identifying the relationship and effect between the existence of rural public spaces and the mental quality of life of villagers. The research method is descriptive-analytical and applied. Library and survey studies have been used to collect information. The statistical population of the study includes 9 villages of Binaloud County. In order to estimate the sample size in rural households, 190 people were obtained from Cochran sampling method with an error level of 7% according to the share of rural population. The collected data were statistically analyzed by SPSS and GIS software and one-sample t-test, regression test and Pearson correlation test were used to prove and disprove the hypotheses. Findings showed that there is a significant and positive relationship between the role of public spaces in improving the quality of life of villagers in the sample villages. However, according to the villagers, the vitality level of rural public spaces in general with an average of 2.49 and quality of life with an average of 2.45 is low in the sample villages and in the villages of Upper Abareh, Virani and Jagharq, the vitality of public spaces and Jagharq, Zoshk and Dehnov villages, the mental quality of life has the highest level. The study of the effect of vitality indices in rural public spaces showed that 39% of the changes in the mental quality of life in the sample villages depend on the vitality indices in rural public spaces. The social vitality index (with an impact factor of 0.292) also has the greatest impact.