Analysis of the enjoyment level of Iran's millions cities based on sustainable development with an emphasis on economic and social indicators

Urbanization in Iran has grown significantly and Iranian cities in terms of size and population not comparable with the past so that in 1395 Iran has 10 cities with a population of millions. However, the economic and social crisis of the city as well as inefficient confront with these crises shows that Iranian millions cities are far away from sustainableurban development.The purpose of this paper is to analyze the enjoyment level of of Iran's cities millions of sustainable development with an emphasis on economic and social indicators.The main question of this article is that what is level of Iran's Millions Cities Enjoyment from economic and Social Sustainable development Indicators? In addition to the main question, other sub-questions are also raised in this article, including what is sustainable development and has what history and dimensions? The results of this article show that regional planning aimed at the development and reduction of inequality is one of the most important issues in developing countries. The need for this regional planning is identify the status of areas relative to each other in terms of development. The concept of development, in addition to growth in all respects, Includes balanced distribution.The balanced distribution of facilities and services is a step towards eliminating regional disparities and proportionate population dispersion across the region. This research is a type of applied-development research and using from combined approach (quantitative and qualitative) as well as descriptive-analytical method will act to identification of indicators and also the current situation of millions of Iran's cities In terms of sustainable development indicators. Required data and information for this research provided through national and provincial statistical registers and Statistics Center in 2016. For information analysis Also Used from Factor Analysis Techniques and SPSS and Excel Software.