Ranking the Level of Social Sustainability of Yazd Neighborhoods Using Fuzzy TOPSIS

Document Type : مقاله پژوهشی

Authors

1 Ph.D. Student in Geography and Urban Planning, Yazd Branch, Islamic Azad University, Yazd, Iran

2 Associate Professor, Department of Geography and Urban Planning, Yazd University, Yazd, Iran

3 Professor in Geomorphology, Department of Geography and Urban Planning, Yazd Branch, Islamic Azad University, Yazd, Iran

Abstract

Considering urban sprawl of Yazd, the aim of the current applied- developmental study is to measure social sustainability of Yazd neighborhoods by descriptive analytical method using fuzzy TOPSIS and correlation coefficient. The software utilized was SPSS, GIS and EXCELL. Because of the data sprawl, the research indicators were collected by a questionnaire using the detailed plan of 2016, the statistics center and field collection. Based on the theoretical foundations of the research, 4 main indicators were studied:  population change, participation, security and quality of life. The statistical population consisted citizens of Yazd who were over 15 years old. According to the Cochran's formula, the sample size was 400 people; and sampling was done by simple random sampling method in proportion to the population of the neighborhoods by stratified random sampling in the neighborhoods. Overall Cronbach’s alpha of the questionnaire was 0.893.  The results showed a high correlation between quality of life index and social sustainability. Quality of life, security, participation indicators with correlation coefficients of 0.948, 0.721 and 0.673, respectively, were the most effective; and they had a significant relationship with social sustainability. Migration index was -0.217, therefore it had no significant relationship with social sustainability of Yazd neighborhoods. Among the neighborhoods, Safayyeh, Imam Shahr and Kooy-e Taleghani were the most sustainable and Eish Abad, Kheir Abad and Airport were the most unsustainable neighborhoods in terms of the social dimension.

Keywords