Maliheh Bbabakhani; Asieh Sameh
Abstract
The purpose of this research is to explain the effectiveness of personality components on residential satisfaction. The applied research was done using the descriptive-analytical method. Hierarchical cluster analysis and K-Means were used to determine the locations of the study sample. The target audience ...
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The purpose of this research is to explain the effectiveness of personality components on residential satisfaction. The applied research was done using the descriptive-analytical method. Hierarchical cluster analysis and K-Means were used to determine the locations of the study sample. The target audience in measuring residential satisfaction is the residents of neighborhoods whose houses were renovated between 1388-1392. According to Cochran's formula, 325 questionnaires were completed in a systematic way in the neighborhoods. The validity of the instrument was confirmed using Cronbach's alpha test with a coefficient of 0.72. Exploratory factor analysis is used to explain the factors of residential satisfaction in the neighborhoods, and Mann-Whitney U-test and Kruskal-Wallis test are used to investigate the influence of personality traits on residential satisfaction, and finally, the relationship between personality traits and the residential satisfaction factors was determined by regression analysis. The innovation of the current research is to investigate the influence of personality components on residential satisfaction in the field of worn-out urban contexts and also to consider the component of the resident's dwelling status as a new component in this field. According to the results of the study, the characteristics of the residential complex, environmental-social conditions of the neighborhood, local services and facilities, and the condition of the residential unit were determined as factors representing residential satisfaction. Gender, residence status, ownership, income, and education have an effect on residential satisfaction. Ownership and education components have the highest and household dimension has the lowest impact on residents' residential satisfaction.
