The Analysis of Urban Neighborhoods Sustainability by Using of Multi-criteria Decision-making Methods (Case Study: 6th Region Neighborhoods of Tehran)

The main objective of this research was been an analyzing neighborhood sustainability in 6th region of Tehran city which could be a base for reaching to urban sustainable development. So doing, we focused on the 28 indicators to analyzing of sustainability in environmental, economic, social and physical dimensions, and neighborhoods ranking in Tehran city.
Research method is descriptive-analytical. Data and information has examined by Multi-criteria AHP, VIKOR and Coefficient of Variation. Indicators were weighted by AHP, then, were ranked by VIKO Multi-criteria decision- making model. Also, inequity indicators have analyzed by Coefficient of Variation model. Mixed indicators of neighborhoods have determined by regression analysis and social, economic, environmental and physical criteria.
Findings: Statistical tests have showed that there was a significance correlation between environmental and physical indicator with mix indicator of neighborhoods sustainability. Findings got from regression analysis have showed that environmental indicator were most significant level for forecasting neighborhoods sustainability in 6th region. Coefficient of Variation indicated that most inequity have been with 18 neighborhoods base on our index in this research and that have been related with environmental indicator.
Discussion and This research has showed that Saee and Arzhantin by getting 0.00 have been most sustainable and Fatemi by getting 1.00 has been most unsustainable. So, this is important to neighborhood development planning focuses on municipality's policy for 6 region.