Analysis of Bursa's Quality of Urban Life By Factor Analysis And Ordered Logistic Regression

Alper Bilgili () and Neslihan Sam ()
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Alper Bilgili: Çanakkale Onsekiz Mart Üniversitesi
Neslihan Sam: UludaÄŸ Ãœniversitesi

Eurasian Business & Economics Journal, 2017, vol. 11, issue 11

Abstract: Today, cities, which are the most important living spaces of individuals, are places where they interact with one of many natural and cultural elements. Resolving urban problems in terms of urban sustainability and livability is of great importance in terms of healthy urban development process. Quality of life, "spatial, sociological and economic values, the criteria for the level of existence of the city infrastructure, transportation facilities, housing structure, etc. are introduced". Apart from the creation of a sustainable city and a sustainable environment in the city, it is seen that the living individuals contribute to the creation of the rights to the places of the blood.In the cities where the quality of life is low, people are thought of to migrate, which leads to these disparities and socio-economic social problems.According to the aim of this study, , to measure the thoughts and behaviors, to determine the relationships between qualities and life satisfaction and urban area satisfaction according to city life areas. At the beginning of the man After theoretically revealing the concept of urban quality of life, in the son's section is the area survey and the analysis of the data reached in the result. In the field survey, 680 questionnaires were applied to people living in 10 districts including the central districts in Bursa with face-to-face interview technique. Urban living space satisfaction was measured in Bursa city and the factors related to the satisfaction of the living areas were analyzed and statistical analyzes were performed by ordered logistic regression model which will be determined important from these factors.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:eas:buseco:v:11:y:2017:i:11:p:

DOI: 10.17740/eas.econ.2017-V11-13

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