Identification of the Effective Factors on Socio-spatial Segregation; A Case Study of Fadak and Kerman Neighborhoods Located in District 8, Tehran

Authors
S. Jalilisadrabad
E. Shieh
M. Behzadfar
Urbanism Department, School of Architecture & Environmental Design, Iran University of Science & Technology, Tehran, Iran
Abstract
Aims Today, the growth and expansion of cities, especially in metropolitans, has reduced the social relations of citizens and, subsequently, caused social alienation and social isolation among citizens, and has gradually diminished the identity of urban neighborhoods and their social segregation. The aim of the present study was identifying the effective factors on socio-spatial segregation and investigation in Fadak and Kerman neighborhoods located in District 8, Tehran.

Instruments & Methods The applied study was conducted in the 2016, Tehran. From the statistical population, of 49061 with household size of 3, 52 families were selected by multistagesampling method. The researcher-made questionnaire was used. The Fadak and Kerman neighborhoods were considered as sample and the amount of their segregation was measured. Factor analysis was used to investigate the effective factors in the segregation. To do better calculations with fewer indices, factor analysis reduced the number of indices to two main factors. Then, the method of factor analysis was applied to them, and the amount of segregation was calculated in the sample with the Geo Segregation Analyzer 1.2 software. Kaiser-Meyer-Olkin, Bartlett’s Test, and SPSS 22 software were used.

Findings The total of the two factors explained more than 52% of the variances. The first factor explained about 36.75% of the total variance of the index set, and the next factor explained 15.67% of the variance of the indices. The amount of socio-spatial segregation in the sample was low; so, they were very similar in social, economic, and physical terms.

Conclusion There is no segregation in the Fadak and Kerman neighborhoods and these two neighborhoods and their inhabitants are very similar in social, economic, and physical terms.

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