Assessment of Mehr Housing Policy According to Sustainability Indicators Case study: Khorramabad City

Housing is a multi-dimensional structure, and it has, economical, social and environmental aspects in addition to physical features. In fact, all these aspects form performance and acceptance of housing. Housing planning for low-income groups, has been one of the major challenges in developing countries. But, the low-income housing is seen only a roof over head in most cases, due to technical and financial constraints. The Mehr housing plan is one of the most expensive low-income housing policies in Iran. The purpose of this study is to assess the effectiveness of these policies (with regard to the sustainability of the housing) and to create a measure for evaluating its performance. This research is a descriptive and analytical type. Data collection was done by two survey and library methods. Data analysis was performed using the SPSS software. The multiple and linear regression models, as well as T-test were used. The results showed that the average of all the indicators is below the mean in the fourth level of the model and accessibility sub-criterion has been minimum average among others. Only the quantitative dimension is equal to theoretical average in the third level conceptual model of research. In the second level of model, only the economic dimension has been mediocre. The sustainability housing index (which is a combination of four dimensions), is lower than the average in the first level of model. In addition, the results of the regression analysis showed that housing sustainability and its sub-criteria were affected the Mehr housing performance indicators greatly.