Investigating the key factors affecting the success rate of Housing patterns of low income groups (Case study: Mehr housing in Mahabad)

Introduction

Background: Housing as a basic need has always been one of the challenges of government planning and welfare in the past few decades. Housing provision patterns for this group play a key role in the well-being and stability of their lives and the development of the country. In the experience of the past few decades, various models have been used to provide housing for low-income people, and their achievements and results have been very different, and the main point is that after spending significant financial resources and implementing programs, housing still plays the main role as a basic need of many disadvantaged groups. Their life conditions are unfavorable.Therefore, providing housing, especially for the low-income strata, has been a challenging and strategic issue, and governments have always tried to solve this challenge and problems, especially for the urban low-income strata, by implementing various programs and policies in the form of development programs or as separate programs for low-income housing

Objectives: The aim of the current article is to focus on examining the key factors that influence the success rate of housing provision models for low-income groups in the city of Mahabad. This involves identifying and understanding the influential elements that contribute to the effectiveness of housing provision models for economically disadvantaged groups within the specific urban context of Mahabad.



Methodology

In the current research, it is practical in terms of its purpose, and in terms of the type of method, it falls under the category of quantitative research; Because the research data was obtained with the questionnaire and Likert scale and the measurement of the effects of the variables on each other was analyzed and evaluated using inferential statistics. The method of collecting the indicators is document-library materials (books, articles, theses, etc.) and the method of evaluating the indicators is field impressions (questionnaire). The statistical population of the research is all the citizens living in the three housing projects of Mehr, Mahabad city, which are approximately 9945 people, and the statistical sample size was determined by using the Cochran formula to be 376 people, and for the most part, 420 questionnaires were administered among the residents of the three projects of Sayyed Abad, Makarian and Shahrak. Employees have been distributed. In the present study, the sampling method was random and survey.In order to analyze the data and answer the research questions, SPSS software and structural equation model method in PLS software have been used. Next, in order to analyze the data and answer the research questions, SmartPls software is used due to the non-parametric nature of the data.



Results and discussion

According to the mentioned purpose, after examining the theoretical bases of the consensus of the residents of Mehr Mahabad housing and calculating the variables and areas of success of the housing of the low income group in this city, in order to clarify the issue and summarize the variables in general dimensions and indicators, in addition to conducting various analyzes including descriptive statistics And non-parametric tests were also used to form the structural equation model. After forming the final model and summarizing and categorizing the data, it was found that in the city of Mahabad, four economic, social, physical, infrastructural and environmental dimensions are key factors affecting the success rate of low-income housing, among them, the physical factor with The importance coefficient of 0.482 in the first priority has the highest correlation coefficient with the success of the housing of the low-income group; After that, social, economic and environmental factors also have positive and significant relationships with the success of low-income housing.

Conclusion

In this research, we came to the conclusion that the environmental factor does not play a role in the effect of the mentioned components on the satisfaction of the housing of the low-income group. But physical, social and economic dimensions have significant effects on satisfaction. Among the social dimensions, social relations, sense of belonging, security and safety are among the effective factors. From the economic side, property cost and household cost also play a key role in the success of housing supply models. In the field of environment, health, ecology and recycling, they also have a significant impact. Finally, in terms of physical dimensions, infrastructure quality, comfort and desirability, connectivity and accessibility, strength and stability of materials are also effective. Among these subscales, household expenses have been observed as the most important influencing factors.According to this analysis, it can be concluded that in order to promote the success and improve the housing supply patterns for the low income groups of Mahabad city, special attention should be given to economic, social, environmental and physical issues. Appropriate actions in this field can help decisions related to the development and improvement of housing patterns for low-income groups. In order to satisfy these groups, it is necessary to pay attention to social, economic and environmental factors. Also, to improve the housing of low-income groups in Mahabad city, it is essential to pay attention to the economic nature of property and household expenses, and besides that, measures to improve social, environmental and physical aspects are also important. These results can help urban decision makers in implementing policies and allocating resources intelligently.In general, if policies for affordable housing according to Meshkini et al. housing subsidy for low-income households" and "good governance" and administrative institutional dimensions have the greatest impact on the variable of affordable housing, in this research we came to the conclusion that physical and social dimensions have the greatest impact in the policy making of housing supply patterns for the low classes earns

Funding

There is no funding support.



Authors’ Contribution

Authors contributed equally to the conceptualization and writing of the article. All of the authors approved thecontent of the manuscript and agreed on all aspects of the work declaration of competing interest none.



Conflict of Interest

Authors declared no conflict of interest.



Acknowledgments

We are grateful to all the scientific consultants of this paper.