Analyzing spatial linking of environmental factors and the Ssocial status of Tehran’s residents viewed from environmental justice

This research aimed to investigate the relationship between the spatial distribution of socio-economic classes and environmental benefits and burdens in Tehran. The components of the independent variable include green space coverage, the number of clean days, and the environment's health. With equal Euclidean distance, 62866 random points are the basis for preparing data and creating information layers for each GIS index. Spatial analysis (Interpolation-IDW), Spatial Join, and Fuzzy Overlay functions in ArcGIS are employed to analyze the data. Findings show that the correlation between the distribution of social classes and the distribution of the number of days with clean air is direct, and it has an inverse relationship with green space coverage and environmental health. In general, there is an inverse relationship between the spatial distribution of economic classes and environmental factors in Tehran. Spatially, in the west of the city, the areas with the highest correlation are located next to the areas with the lowest correlation. Over time, the spatial relation between economic classes distribution and environmental benefits and burdens has been moderated.