Optimized Multi-Method Model for Construction Land Demand Forecast: A Case Study of the Main District of Xiangfan City

In order to make construction land demand forecast fully evidential for optimizing land use structure and layouts, an improved and systematic multi-method forecast model is studied in this paper. By introducing Analytic Hierarchy Process to the model with three sub-models including land classification, Grey Model and population-economy regression model, the optimized multi-method model (OMM) can rationally improve the precision and the quality of being general. For illustration, an example of the main district of Xiangfan City is utilized and the case results show that the OMM has higher precision and more general applicability comparing to a single forecast tool mentioned above. The AHP-based OMM can effectively improve the weakness of theory flaw as well as precision and application deficiency by using only one forecast method.