Evaluation of components affecting rural housing planning and policy in Iran (Case study: Masal county villages/Guilan)

Authors

1 Ph.D. Student of Architecture, Department of Architecture, Khalkhal Branch, Islamic Azad University, Khalkhal, Iran.

2 Assistant Professor, Department of Architecture, University of Mohaghegh Ardabili, Ardabil, Iran.

3 Professor, Department of Geography, Rasht Branch, Islamic Azad University, Rasht, Iran

4 Assistant Professor of Architecture, Faculty of Engineering, University of Mohaghegh Ardabili, Ardabil, Iran

Abstract

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.

Keywords

References

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Geography (Regional Planning)
Volume 10, Issue 40
December 2021
Pages 165-179

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