Identifying the Most Influential Physical-Environmental Subcomponents of Social Housing on Users' Place Attachment (Case Study: Shiraz)
Subject Areas : Creative City Design
kimia sadat tabibzadeh
1
,
hamed mozterzadeh
2
,
Mohammad Parva
3
,
vahideh hodjati
4
1 - Depatment of achitecture, shiraz branch, islamic azad university, shiraz, iran.
2 - Depatment of urban planning, shiraz branch, islamic azad university, shiraz, iran.
3 - Department of Architecture, Shiraz Branch, Islamic Azad University, Shiraz, Iran
4 - Depatment of urban planning, shiraz branch, islamic azad university, shiraz, iran.
Keywords: Social Housing Design, Place Attachment, Physical-Environmental Subcomponents, Emotional Attachment, Local Identity,
Abstract :
Different components and sub-components are important in the design of residential spaces. Social housing is important in terms of creating living spaces with collective uses for certain groups, which the government plays an important role in creating. Considering the proven role of environmental psychology in space design, the upcoming research has been carried out with the aim of identifying the most influential physical-environmental sub-components on the place attachment of their users as one of the important issues related to environmental psychology. The research method used in the current study was descriptive-analytical with the method of collecting information in the form of library and survey studies with the help of relevant scientific texts and also a researcher-made questionnaire. After collecting related materials and categorizing the components related to the subject, a researcher-made questionnaire was developed and its validity was determined by Delphi method by experts and its reliability was determined by Cronbach's alpha. According to Cochran's formula, it has been randomly distributed among 387 users of social housing complexes in Shiraz, who were identified with the help of Expert Choice 11 software based on the AHP model. The data from the questionnaires were analyzed by Excel and SPSS software with the help of ANOVA, Pearson correlation coefficient test and multiple regression tests. The findings have determined that the most influential physical-environmental sub-components include: 1- "Hierarchy"; 2- "feeling of comfort"; 3- "dimensions and size" and "view and landscape" (on the same level); 4- "personalization" and 5- "material type".