javad hemmati lohesara

In recent years, all governments have adopted policies such as granting credits and low-interest loans to improve the quality of rural housing. A policy that has changed the heart of villages and housing patterns. Therefore, the aim of this study is to investigate the effects of housing credits and loans in rural areas of Masal city (Shalma, Markieh and Darkhaneh villages) in two dimensions of housing pattern and village identity. In this regard, descriptive-analytical research method with emphasis on qualitative-quantitative approach has been used to collect information from field method (observation, interview and questioning). The statistical population of the study also includes the housing estates of the studied villages, that the sample size is estimated to be 383 houses based on Cochran's method. The research findings show that the main impact of crediting and debt consolidation loans is to improve the strength of new and renovated housing compared to older housing. Other effects of these facilities include a reduction in biological activity in the residential unit, a decrease in the level of infrastructure, a reduction in the number of rooms, and a change in the type of plan and housing structures. On the other hand, the results indicate a decrease in the identity of the villages in terms of spatial affiliation as well as a decrease in cultural values and adaptation to the old and traditional pattern in the new designs of residential units.

Rural Housing Planning and Policy in Iran, which is seriously pursued and implemented by the Housing Foundation of Islamic Revolution; It seeks to provide a favorable housing model for rural residents. Given the importance of rural housing planning, the aim of this study is to evaluate the components affecting rural housing planning in Masal city and identify their strengths and weaknesses. In this regard, the research method is mixed with quantitative-qualitative approach, which is applied in terms of purpose and descriptive-analytical in terms of nature. The statistical population of the study included officials and experts in the field of rural housing in the Housing Foundation of the Islamic Revolution of Masal County/Guilan. The sample size was 383 people using Cochran's formula and 340 people were reduced using Cochran's modified formula. In order to analyze the research information, has been used of partial least squares method in Smart-pls software. The research findings show that the 5 main variables and 24 sub-variables studied explain the effect of programs and policies in rural housing planning as 0.903% and only with the loss of 0.977%. Also, the highest impact among the components studied in rural housing planning is related to economic and quantitative components and the lowest impact is related to quality component with score of 0.856, 0.811 and 0.326, respectively. On the other hand, the GOF fitness index for measuring the fit of the measurement and structural models is 0.522, which indicates the overall utility of the structural model of the research.

Rural Housing Planning and Policy in Iran, which is seriously pursued and implemented by the Housing Foundation of Islamic Revolution; It seeks to provide a favorable housing model for rural residents. Given the importance of rural housing planning, the aim of this study is to evaluate the components affecting rural housing planning in Masal city and identify their strengths and weaknesses. In this regard, the research method is mixed with quantitative-qualitative approach, which is applied in terms of purpose and descriptive-analytical in terms of nature. The statistical population of the study included officials and experts in the field of rural housing in the Housing Foundation of the Islamic Revolution of Masal County/Guilan. The sample size was 383 people using Cochran's formula and 340 people were reduced using Cochran's modified formula. In order to analyze the research information, has been used of partial least squares method in Smart-pls software. The research findings show that the 5 main variables and 24 sub-variables studied explain the effect of programs and policies in rural housing planning as 0.903% and only with the loss of 0.977%. Also, the highest impact among the components studied in rural housing planning is related to economic and quantitative components and the lowest impact is related to quality component with score of 0.856, 0.811 and 0.326, respectively. On the other hand, the GOF fitness index for measuring the fit of the measurement and structural models is 0.522, which indicates the overall utility of the structural model of the research.