Market analysis and forecasting of housing prices in Tehran

dentifying Tehran's housing market plays an important role in policing the country's urban housing sector and helping timely and effective decision-making. This study analyzes the market and forecasts of housing prices up to 1405 in Tehran using the dynamic system method. In this study, a causal model is first developed to study the dynamics of Tehran housing and then a Stock-flow model is designed to simulate a causal model. The model results predict an increase in housing prices by exponential growth pattern up to 1405. As land prices rise, housing prices rise exponentially. Hous-ing prices also follow capital demand and rise exponentially. By controlling capital de-mand for housing, one can reduce fluctuations in housing demand, which reduce hous-ing prices. After validating the model, demand and supply scenarios are designed