An Explanation of Evaluation Model of Choices and Preferences for Residential-Apartment Buildings in Urban Districts; Case Studies: Districts 1, 6, 13 and 22 of Tehran

Document Type : Original Article

Authors

1 Ph.D. Candidate in Architecture, Faculty of Urban Architecture, Qazvin Branch, Islamic Azad University, Qazvin, Iran.

2 Assistant Professor of Architecture, Faculty of Architecture and Urban Development, Qazvin Branch, Islamic Azad University, Qazvin, Iran (Corresponding Author).

3 Associate Professor, Science and Research Branch, Islamic Azad University, Tehran, Iran.

4 Assistant Professor of Architecture, Faculty of Architecture and Urban Development, Qazvin Branch, Islamic Azad University, Qazvin, Iran.

Abstract

Considering the nature of housing, the individual needs to make choices and preferences about it. This research aims to investigate a relationship model of residential preferences criteria among citizens of Tehran. This research has a cross-sectional survey methodology and bases the individual to be the analysis unit. The statistical population of this study was composed of Tehran’s citizens of over 18 years.  Three hundred ten people were selected as the statistical sample via systematic random sampling. Data were gathered from a researcher-made questionnaire, and statistical analysis methods such as confirmatory factor analysis, single-sample mean differences, multi-sample mean differences and path analysis were used to analyze the data. One-sample mean differences test showed that all indicators were important for respondents. Mean difference analysis suggested that “social-cultural”, “structural-physical”, “environmental”, and “economical” criteria were respectively important in selecting housing and that they were of the same importance in different urban districts, as no significant difference was noted in those different districts.  The “economical” criterion, although accounted for the least degree of importance, had a significant effect on the importance of other criteria, as suggested by the path model. Research showed that the findings could be utilized by planners and housing policymakers, and architectural designers.

Keywords

References

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History

  • Receive Date: 28 September 2020
  • Revise Date: 08 January 2022
  • Accept Date: 19 January 2022

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