Volume 28, Issue 1 (2018)                   IJAUP 2018, 28(1) | Back to browse issues page


XML Print


1- MA Student, Schoolof Architectural Engineering, Golestan University, Golestan, Iran
2- Golestan University, Gorgan, Iran, Assistant Professor, Schoolof Architectural Engineering, Golestan University, Golestan, Iran , a.nourtaghani@gu.ac.ir
Abstract:  

This study was done with the aim of identifing and prioritizing the supportive housing affordability indicators based on residents` perspective, this aim is practical and our research method is descriptive-analytical. Regarding the nature of the subject and the indicators studied, the current approach to this research is a survey method that first, by analyzing the content of research carried out in different countries, the affordability indicators of supportive housing are extracted and then based on this Indices, a questionnaire was designed. This questionnaire was distributed in the statistical community. The statistical population is residents of Mehr housing in Babolsar. 340 residents were selected by random cluster sampling from the whole (2300 residents). Data was analyzed through exploratory and confirmatory factor analysis. Exploratory Factor Analysis showed a 8-factor measurement model that two factors were eliminated due to their low impact. These factors that determine affordability of supportive housing base on residents` perspective, In order of preference, are: physical comfort, Elderly and disabled people facilitations, Green spaces’ landscape, Intra-housing characteristics, Open spaces efficiency, and social interactions. The regression method was used to investigate the relationship between these factors, which indicates high dependence (0.85) of physical comfort factor (as dependent variable) and Intra-housing characteristics. In future researches, it is necessary to evaluate the measures of supportive housing affordability indicators in different regions of the country.

Type of Study: Research Paper | Subject: Architecture

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.