Economic Ranking of the 22 Districts of the City of Tehran for Prioritizing Establishing Financial and Trade Centers via Multi-Attribute Decision-Making and Ranking Method

Attending to the location of establishing the centers for financial and trade activities is one of the most parameters of profitability and success for such centers and achieving such a goal is possible through having the exact geographical/locational details. However, in most cases, collecting and having access to such details is time-consuming and costly. Thus, economic ranking of the districts in metropolises, firstly, provides the managers and economic planners with a general view of the economic status of urban districts so that, following identifying economically prosperous districts, they can decide on exact location of establishing financial and trade centers, upon priorities. The current research utilized multi-attribute decision-making and ranking methods for economic ranking of urban districts after identifying contributory economic indexes and parameters in the city of Tehran and the eigenvector for determining the index loading. The results obtained from multi-attribute method, via Gama Correlation Coefficient, and those from economic zoning of the 22 districts of the city of Tehran in the geographical information system were compared and contrasted.