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Urban Studies Research
Volume 2014 (2014), Article ID 616198, 14 pages
Research Article

Production of Quality Housing in Urban Transformation in Areas under Disaster Risk: Osmangazi and Yıldırım, Bursa, Turkey

1Department of Architecture, Faculty of Architecture, Uludag University, Görükle Campus, Nilüfer, 16059 Bursa, Turkey
2Department of Econometrics, Faculty of Economics and Administrative Sciences, Uludag University, Görükle Campus, Nilüfer, 16059 Bursa, Turkey

Received 23 September 2014; Revised 19 November 2014; Accepted 26 November 2014; Published 31 December 2014

Academic Editor: Gustav Visser

Copyright © 2014 Murat Taş et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Bursa is one of the cities with high disaster risk and a quality housing problem in Turkey. Urban transformation activities are carried out in order to improve quality of life and create safe living spaces for sustainable urban development. Quality housing production does not signify merely a need to be satisfied quantitatively. Housing and its environment, where physical and social needs of the users are satisfied, should be designed considering local conditions and in a way that they will be suitable for users’ life styles and cultural habits. In this study, the selected study area comprises neighborhoods which are under disaster risk, have been determined as urban transformation areas, and have residents with similar socioeconomic characteristics. With the purpose of improving user satisfaction, this study investigates users’ experience with physical, social, and cultural features of housing and its environment, which identify the quality of housing, and their preferences of new housing units to be produced. Nonprobability sampling method was selected for the field study, and a survey study was conducted. SPSS 17.0 (Statistical Package for Social Sciences) was employed for data entry. In order to generate data for quality housing production, relationships between variables were analyzed with Pearson chi-square test.