Measuring the factors affecting the satisfaction of housing of low-income urban groups (Case study: Shahreza Mehr-Housing)

Mehr Housing is the largest government-funded housing project. The plan is to remove the decisive role of land prices in housing prices in order to facilitate access to affordable housing in addition to controlling housing prices.

The present study is an applied type that is conducted by descriptive and analytical method. A questionnaire was used to collect information. The statistical population of the study included all residents of Mehr Reza housing (N = 2400). Using the Bartlett et al. (2001) table, 145 households (head of households) were selected from households residing in the Mehr housing in question by random sampling. The tool used in this study was a researcher-made questionnaire. Data analysis was done through correlation analysis and structural equation modeling using SPSS and Smart PLS software.

structural equation modeling showed, policy and planning components (γ = 0.701, t = 14.15), design principles (γ = 0.421, t = 6.26), neighborhood interaction (γ = 0.2282, t = 3.05), are explaining 66% of the variance of satisfaction with the Shahreza Mehr housing.

In order to increase the satisfaction of low-income urban segments of Mehr housing, it is necessary to take into account such issues as policy and planning in this area, design principles and interactions with neighbors.