The Effect of Social Inequalities on the Quality of Green land space (Case Study: Kashan City)

Urban green landscape is considered as one of the most important uses of services and one of the developmental indicators of societies and it is very important in sustainable urban development. Having this important urban user is affected by social inequalities, which is currently considered one of the main problems for today's cities. What matters is that the quality of the green land spaces and the facilities and services provided there. In this research, the relationship between the social status of citizens and the quality of green land space in Kashan city has been investigated. The research method is descriptive-analytic and data collection is done in a field. The statistical population of the study consisted of all residents of Kashan city, 304487 people. A sample size of 200 questionnaires was used to calculate the sample size. Descriptive and inferential statistics were used to analyze and analyze the effects of social inequalities on the quality of green land space using T-test and ANOVA tests in SPSS software. Structural equation modeling in Amos software was used. The results of T-test indicate the inappropriate quality of green space in Kashan parks. Also, the results of ANOVA showed that there is a statistically significant difference between the quality indices of green space in different regions of Kashan. Analysis of the results from structural equation modeling also indicates that there is a significant relationship between the social status of areas and the quality of green space in Kashan. Also, among the variables related to the landscape quality index, the factor with the highest factor load was 0.98.