Faktör Analizi ile Anket Verilerine Dayalı Sosyoekonomik Kırılganlık Değerlendirmesi: İzmit Örneği

Abstract

Spatial clustering of socioeconomic variables and socio-spatial segregation is a result of the differentiation in choices of the living environment of population groups that differ from each other in their socioeconomic status. Typical examples of spatial segregation are the residential areas of the low-income groups, commonly composed of unqualified immigrants, in certain areas of the city, and higher socioeconomic status communities occupying places isolated from the rest of the society. The present study, conducted on the residential areas of an industrialized city that was subject to mass immigration. Aim of the study is to evaluate if there is a spatial clustering of the districts with similar socioeconomic characteristics and if there is a clustering of facilities, services, and housing to understand and quantify the degree of segregation. The interrelationships among the socioeconomic variables and the services provided were also evaluated to determine the deprived districts of low socioeconomic status and insufficient services. Empirical findings suggest that as in most of the metropolises of Turkey, there is a socio-spatial segregation that exhibits a pattern. The socioeconomic indicators that represent a micro level show a clustering across the urban space whereas the distribution of services per district that represent a macro level doesn’t show a substantial clustering. However, the low socioeconomic status districts are found to be characterized by low amount and diversity of services provided. This relationship of micro and macro level indicators for the case might have well contributed to the deepening of segregation, particularly for low socioeconomic status districts.