Introduction: The improvement of the country's villages requires a comprehensive understanding of the economic, social and cultural conditions of the rural communities on the one hand and familiarity with the architecture of their homes on the other hand. The aim o
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Introduction: The improvement of the country's villages requires a comprehensive understanding of the economic, social and cultural conditions of the rural communities on the one hand and familiarity with the architecture of their homes on the other hand. The aim of the current research is to evaluate the effects of the programs and policies of the rural housing improvement plan in the rural structure.
Research Aim: The purpose of this research is to evaluate the effects of rural housing improvement policies and programs on the structure of villages in Ardakan, Yazd.
Methodology: The research method in this study is descriptive-analytical and the data was prepared by survey method. Cronbach's alpha coefficient was used to validate the data. The statistical population of the research is the residents of rural areas of Ardakan County. In this research, a simple random sampling method was used. To determine the size of the statistical sample, Bartlett et al.'s table was used, and 209 people were selected as the statistical population. Descriptive statistical techniques, correlation, and multivariate regression were used to analyze the data.
Studied Areas: The geographical territory of this research is the villages of Ardakan County of Yazd.
Results: The findings showed that there is a significant relationship between the plans and policies of the housing improvement project and the dimensions of the rural structure. The strength of the investigated dimensions of the rural structure in policies and improvement programs is not the same and in one direction, there is a direct relationship between all the physical, economic, environmental and social components of the rural structure with improvement policies and programs.
Conclusion: Among these dimensions, the physical dimension with a coefficient of 0.514 has more impact and explanatory power than other examined dimensions of housing in predicting improvement policies and programs. In the second place, the influence of the economic dimension has 0.160 more explanatory powers than other dimensions.
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