Analyzing of Housing Market In Tehran Province with Using System Dynamics

Housing is the third top factor in human life، after food and clothing in all communities. Many variables involved in determining housing prices and is impossible to ignore housing feedback. One of the powerful tools to determine the impact of policies in this field using system dynamics approach. According to this approach، the cause and effect diagram of factors effecting housing prices in Tehran، the dynamic model is provided. To simulate intended model using Vensim software. Finally، scenario making was conducted to consider various policies in housing market. The result show that enhance other provinces'' facilities، also increase of cheap housing supplying by the government as well as loan for construction decrease the housing price and the price would be balanced.