The role of residential environment dimensions in residential satisfaction, case study: Bâlâ neighborhood in Qaen city

Residential satisfaction can be defined as residents' perception of the extent to which their expectations of the residential environment are met. Failure to meet these expectations will lead to dissatisfaction with the residential environment. Residential dissatisfaction, while reducing the quality of individual life, can also have negative social effects. Therefore, measuring residential satisfaction and the factors affecting it is very important. The purpose of this study is to measure residential satisfaction and analyze the impact of residential environment dimensions on this variable in Bâlâ neighborhood as an old neighborhood in Qaen city. This research is a field study and a questionnaire was used to collect data and sample size is 370 people. One-sample t-test, Pearson correlation, multiple regression analysis and Chow test were also used to analyze the data. The results show that people's satisfaction with their residential environment is above average. Also, all 4 studied residential dimensions (housing/dwelling, environmental quality, access to facilities and social environment of neighborhood) have a significant effect on residential satisfaction. According to the results of multiple regression, the independent variables explain and predict 58% of the variance of the residential satisfaction variable. The beta coefficient, the environmental-visual quality of the neighborhood with a coefficient of 0.383 has greatest impact on residential satisfaction and in the next rank is the social environment of the neighborhood with a coefficient of 0.326, and the variable of access to facilities and housing quality has been assigned the third and fourth ranks.Therefore, it can be said that the role of the neighborhood in residential satisfaction is more than the role of the housing. Also, the results of Chow test showed that demographic characteristics of residents have a moderating role in some relationships between independent and dependent variables.