Analyzing of regression model of environmental health quality of residential in slum areas

Background & Objectives: Study of cities development is the sign of disorganized and critical situation of residential health as one of the important policy issue of city development. Slum or marinated areas have high sensitivity against other residential places, because of their high population, lack of organic relation with city, and limitation in small places. The current study was conducted in three slum areas of the city of Sari, Iran, to measure the environmental health quality of slum places, and to determine their environmental health quality. Methods: Hierarchical Multiple Regression Analysis (HMR) and namely, Analytic Hierarchy Process (AHP) method was used as the analytical technique for investigation and analysis of data.Results: The results show that the health quality in the studied residences was in weak level (1<1.92<5) and there were significant relationship between the criteria and sub- criteria in different levels with the variable of environment health quality of slums.Conclusion: Preparation for constructing suitable urban residences as well as providing conditions to benefit from urban advantages in line with an enriched urban culture is of utmost importance.