Measurment of satisfuction rate of low incom peopel from their house case study (nir city).

Ziyayii, Parisa (2018) Measurment of satisfuction rate of low incom peopel from their house case study (nir city). Masters thesis, University of Mohaghegh Ardabili.

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Text (سنجش میزان رضایتمندی اقشار کم درآمد از مسکن خود (نمونه ی موردی: شهر نیر)) Parisa Ziyayii.pdf Download (1MB) | Preview

Abstract

In recent years, attention has been paid to the characteristics of residential environment and housing satisfaction, but attention has not been paid to the characteristics of different income groups, especially vulnerable corporations such as clients. However, by knowing the residential environment of these groups, it is possible to pay more attention to them in planning and policies, and ultimately improve the residential environment and ultimately urban development city stability. Satisfaction with residential environment is a multidimensional concept, and it is formed from different indicators. And each of these later, and indicators, affects the level of satisfaction of the individual from the place of residence. The purpose of this study was to measure the satisfaction of low-income groups in their housing in Nir. The research method is descriptive-analytic. The statistical population of this research is the urban population of the Nir Committee of Nursing and Welfare, which according to the census of 1395, the population of this city was 13348 people. The data collection method was available randomly and the questionnaire was used to collect data. To analyze the data, two methods of descriptive and inferential statistics were used in the form of Excel and Spss software. So that a single-sample t-test was used to measure satisfaction, independent t for satisfaction evaluation in percentage variables the membership of households in supportive organizations, sex and employment, which has two communities or two floors, has been used. One-way variance analysis was used to compare satisfaction between educational variables, approximate monthly income, number of households living in residential units, residential units, residential units, housing type, number of household members living in residential units, Age, length of residence and marital status, which are three or more floors. The results of single-sample t test showed that satisfaction of clients from their residential environment with average number (3.05) is higher than average (3). One-way ANOVA is from the effects of individual characteristics which imply age effect on satisfaction.

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