Multi-parameter Optimum Combination Model of Predicting Land Demand for Construction Use of City

This paper according to the intrinsic relationship between demand land for construction and socio-economic development indicators, presents a models to forecast the demand for construction: a multi-parameter nonlinear model for forecasting demand for construction.In the multi-parameter nonlinear model, population, GDP, financial expenditure and total investment in fixed assets, were selected as the independent variable, while construction land area was selected as the dependent variable. An improved optimum combination forecasting method was used to produce a multi-parameter nonlinear model. This method calculates the value of each coefficient based on the precision contribution of the single variable simulation model to the predicted increments of construction land area. And then a correct coefficient is used to correct forecast results. As a result, construction land demand is satisfactorily obtained. The forecast of construction land in future could help the relative departments of government to plan lands utilize so that avoid the waste of land resource.