Application of multi criteria models in evaluating development level of human habitations (case study: counties of Tehran province)

Unbalanced growth of urban and regional areas is one of the main characteristics of third world countries. This research studies development situation of counties of Tehran province using different indicators. The most important goals of this research are recognizing inequality level of Tehran's counties and representing some solutions about decreasing inequality at regional level. Doing this research can show centralization situation of services in core and periphery regions. Research method is descriptive- analytical method, that inequality level has been studies using 35 indicators in economic, social, cultural, sanitary and infrastructural aspects. Therefore, first weight of indicators has been nominated using ANP model, then development level of counties has been determined using TOPSIS, VICOR, SAR, AND Synthetic method. Results show regional inequality in province level, which most of services have been concentrated in Tehran and Shemiran counties, and lack of some services in other counties. Counties of Shemiran by 1.6155 coefficient as the wealthiest County, and Malard is the poorest county