Volume 26, Issue 1 And 1401 (2022)                   MJSP 2022, 26(1 And 1401): 31-61 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

hosseini S M, karbalaee doree A R. Spatial-Satellite Analysis of Land Surface Temperature in Sefidroud Basin. MJSP. 2022; 26 (1 and 1401) :31-61
URL: http://hsmsp.modares.ac.ir/article-21-56154-en.html
1- Assistant Professor of Climatology, University of Sayyed Jamaleddin Asadabadi. , h.climate@yahoo.com
2- Ph.D in Synoptic Climatology
Abstract:   (299 Views)
Due to the growth of urbanization and migration to cities, housing supply has become an acute problem. To meet the demands for housing, in addition to providing land, capital, and building materials, a strong economic management is needed. One of the ways that has been implemented in Iran for housing and helping people to own a house is the formation of housing cooperatives, on which, with reference to Article 44 of the Constitution, more emphasis is placed in recent years to reduce government holdings and provide opportunities for participation in all economic bases.
The research method of the present article is applied in terms of purpose and descriptive-analytical in nature. Data collection was done through library and field data gathering (interviews with experts of housing cooperatives, practitioners, and university professors through a semi-structured questionnaire using non-probabilistic sampling method (snowball)). In the present paper, the number of the informants, 30, was determined based on the cooperation conditions and the corona limitation. In this study, due to the nature of the issue based on the strategic interpretation of the drivers affecting the quality of housing cooperatives in the production of urban housing, strategy-based approaches have been used. Therefore, two important techniques, namely cross-structure analysis approach and interaction analysis approach with Mikomak software have been used.
Results and discussion
In the analysis of the strength of the relationship in the direct impact of variables, it is clear from the measurable relationships between them that there are very strong relationships among the components of "satisfaction with the efficiency of housing profits, participation of housing investment institutions, mass builders, and cooperatives in housing production, and formulating a coherent and dynamic policy of access to cheap housing of suitable quality,”and are mutually related with the component of "formulating a coherent and dynamic policy of access to cheap housing of suitable quality for cooperative members." Out of 37 factors studied in this study, 13 factors were finally extracted as key variables and drivers in the optimal performance of the cooperatives. All 13 factors were repeated in both direct and indirect methods.

The results show that the drivers of housing cooperatives' performance including "coherent measures to get the housing market out of recession; involvement of housing investment institutions, mass builders, and cooperatives in housing production; and satisfaction with housing efficiency" are marginalized. This trend shows that these indicators do not tend to improve, and with the current trend, the situation in the organization will continue to be unfavorable. As a result, the necessary condition for improving performance of cooperatives in the physical and spatial changes of Tabriz city based on decentralized planning and meeting the needs of all citizens in the future, is the promotion of the above indicators.
Full-Text [PDF 1927 kb]   (81 Downloads)    
Article Type: Original Research | Subject: planning of environmental managment and riks
Received: 2021/10/7 | Accepted: 2021/12/20 | Published: 2022/05/31

Add your comments about this article : Your username or Email:

Send email to the article author

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.