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Showing 3 results for Housing Quality

Behrooz Mohammadi Yeganeh, Mehdi Cheraghi, Fovad Samadi,
Volume 16, Issue 43 (12-2016)
Abstract

Research goall is survey in the situation of quality of housing and rural vitality and survey of relationship of housing quality and vitality of rural settlements. The population of research is Khawmirabad county (Kurdestan Province, Mariwan Township) with 2737 households. Research method is analytical –description based on questionnaire and it is applicable research . In order to gathering the data we used documentary and field method and interviews and questionnaire based on Likert scale(five – range opinion)has been used. In order to sampling we used random sampling and by using of Cochran formula that sample size is equal to 290 households. In order to analysis of data’s from questionnaire, we used both of Descriptive (mean and deviation) and Inferential(One sample T, Linear regression, Chi- square) Statistics. The results of this study indicate a low level of economic dimensions (2.34) and political (2.97), vitality and quality of housing than the average (2.74). This difference is statistically significant at the alpha level 0.01 numerical difference utility as evaluation and assessment is negative. The results also show that the greatest impact of the quality of housing is on the social dimension with a beta coefficient of 0/570 and the lowest on the economic dimension with 0/077 beta coefficient.


Phd Mohsen Ahadnejad, Asghar Teymouri, Mahnaz Vaez Livari, Hossein Tahmasebi Moghaddam,
Volume 21, Issue 63 (12-2021)
Abstract

Housing as one of the basic human needs a significant impact on the health and improve the quality of life of individuals. The quality of housing as one of the main foundations of a comprehensive program and a necessary tool for expressing the various dimensions of economic, social, cultural, environmental and physical development of sustainable, has a special place in urban planning. The purpose of this study is to analyze the spatial quality of housing quality in urban neighborhoods in central Zanjan city. The type of research is applied and descriptive-analytic in nature. The information gathering method was used by the library method (set of statistical blocks of 1395 and detailed plan of 1394). Combined methods of the Tedim model and the geographic information system are used to analyze the data. The results of the research show that inequalities are found among the middle areas of Zanjan city. In the residential areas, 18.91% of the low-quality housing, including the besim neighborhoods, ghabrestan balla, Vahdat, Khatam, Amadgah, Goljak Abad, 21.80% of the dwellings The relatively low quality of the ashaghi gabristan, the shahada, Meydan enghelab , alley waliasr, Niksazan, 22.71% of the average quality housing, including the district of the Forodgah, Rajaee Town, Amjadiyeh, Najaem, Qadas, Fateh, 17.43% of the relatively high quality housing Which includes eastern Ansariyah, Vahidieh, Shoghi, 17  Shahrivar, shahada masged, Goniyeh, Ja'fariyah and ultimately Lots of Azadi, Ansarieh, Etemadieh, Black Alley, North Saadi 19.15% of the houses are of high quality.

Hossein Mobarra, Mahsa Faramarzi Asli,
Volume 25, Issue 76 (3-2025)
Abstract

Housing is a crucial domain for testing human interactions and serves as a physical framework where social, cultural, and economic resources intertwine. In order to achieve social progress, the realm of housing encompasses not only the residential units themselves but also their surrounding environments. The focus on housing quality indicators is essential for attaining sustainable housing, which in turn lays the foundation for sustainable urban development. However, the increasing demand for housing and the prevailing quantitative approach have led to the neglect of the fundamental issue of housing quality in its true essence. Insufficient access to suitable housing can contribute to or worsen various psychological and social challenges. Hence, this research aims to identify the main indicators and components of housing quality and prioritize them, assuming equal weighting of their influence. The research methodology employed in this study is practical in its objective and descriptive-analytical in its approach. To achieve the intended objective, the Analytic Network Process (ANP) model is utilized to determine the weight and prioritize each indicator and component of housing quality. Subsequently, after evaluating the indicators using the ANP model, the results indicate that among the examined indicators, housing facilities and amenities with  0.318, housing security with 0.218, housing comfort with 0.145, compatibility with complementary uses with 0.142, housing durability with 0.109, and housing climate adaptation with 0.065 have been assigned the highest weights, respectively.


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