Research Article

A Statistical Evaluation of Housing Preference in Istanbul Urban Transformation

Volume: 5 Number: 2 October 13, 2020
EN

A Statistical Evaluation of Housing Preference in Istanbul Urban Transformation

Abstract

With its rapidly growing population in the last 50 years, Istanbul is one of the cities where skewed urbanization has developed widely. The fact that crooked urbanization is an important threat that causes loss of life and property in disasters such as earthquake, flood, erosion, fire etc., paved the way for the implementation of urban transformations in accordance with modern urbanism in this city. It is also very important to meet the demands and needs of those living in areas where urban transformations are applied. In this study, a housing preference survey was conducted for residents in an urban transformation area in Istanbul and it was analyzed socially and structurally as to what expectations were expected from the renewed houses. The study was carried out by randomly sampling method and face-to-face interview with 598 participants residing in an urban transformation area in Istanbul province by applying 18 survey questions. The questions are generally related to the properties of the house and the environment of the residence. SPSS v17.0 package program was used to analyze the data in this sense. In addition, independent sample t-test and one-way analysis of variance (One – Way Anova) were applied. Obtained results show that revealing different demands and needs in participants of different qualifications is quite remarkable.

Keywords

References

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Details

Primary Language

English

Subjects

Civil Engineering

Journal Section

Research Article

Authors

Publication Date

October 13, 2020

Submission Date

June 5, 2020

Acceptance Date

August 4, 2020

Published in Issue

Year 2020 Volume: 5 Number: 2

APA
Yılmaz, İ. (2020). A Statistical Evaluation of Housing Preference in Istanbul Urban Transformation. Journal of Sustainable Construction Materials and Technologies, 5(2), 467-474. https://doi.org/10.29187/jscmt.2020.50

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