saeed najafy; Ahmad Rahdar; Behzad Esmaeili
Volume 4, Issue 14 , February 2024, , Pages 54-70
Abstract
Background: Measuring the quality of life by connecting human life with housing, which is an inseparable part of basic human needs, is challenging.Objectives: The aim of current research is to measure how the physical quality of housing affects the residents' quality of life.Method: The research method ...
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Background: Measuring the quality of life by connecting human life with housing, which is an inseparable part of basic human needs, is challenging.Objectives: The aim of current research is to measure how the physical quality of housing affects the residents' quality of life.Method: The research method used is descriptive-analytical in type and applied for a specific purpose. To gather the necessary theoretical insight and review relevant literature and data, we utilized the library-field method. In order to gather the necessary statistics and information, we referred to statistical block 1395 in Zanjan city. We then used a hierarchical analysis model to determine the importance coefficient of each indicator, followed by the TOPSIS decision-making model for data analysis and ranking of regions. Finally, we used the ANOVA variance analysis model in SPSS software to verify the significant difference of the indicators in urban areas. The research was conducted on residential units located in four districts of Zanjan Municipality.Result: According to the study, regions one and four have the most desirable physical livability indicators in terms of housing when compared to other regions. The TOPSIS decision-making model showed that the desirability score in region one is 0.636, in region two and three it is 0.515, and in region four it is 0.477. The desirability score for all four regions combined is 0.546. The analysis of variance indicates a significant difference in physical livability indicators among housing in various urban areas of Zanjan. Due to the number of households exceeding the number of residential units, the average in all four regions did not show a significant relationship, and its value was higher than the intended error level. It means, measuring livability helps urban planners understand quality of life and environment. Measuring livability quality helps urban planners understand people's quality of life and environment of a place.Conclusion: it can be said that from a qualitative perspective, even though satisfaction with the residential unit is not the same as satisfaction with the location, and its impact on staying in the place is not as significant as other factors, it is relatively easy to enhance the satisfaction with the residential unit by renovating and improving it. However, the lack of information structures and community involvement in improving the structures can lead to residents vacating the place due to dissatisfaction with their residential units.
