CHEN Xiao-jun1, ZHANG Jian-li2
(1 College of Management, Xi′an University of Architecture and Technology, Xi′an 710055, Shaanxi, China; 2 College of Economic and Management, Xi′an Technological University, Xi′an 710043, Shaanxi, China)
Abstract:
Based on analyzing the influence indices of urban land demand in urbanization, this paper uses the BP Neural Network Model to forecast urban land demand, builds up the urban land demand forecast model based on BP Neural Network, applies the model in Xi′an city, forecasts the urban land demand. The increasing speed of land demand is 7.53% in urbanization, and the quantity of land demand is 14 077 hm2 during the period from 2007 to 2011. The study provides a new method to forecast the urban land demand.
KeyWords:
urbanization; urban land; demand forecast; BP Neural Network Model
