Abstract: Many domestic experts and scholars had made multiple perspective explorations on the scale of urban land by using reasonable methods. In order to analyze and forecast the scale of construction land of Xingtai City in Hebei Province, the author chose 2 mature prediction models: the multiple linear regression analysis and BP neural network, which were very effective tools in the similar study over the world. But the prediction results of 2 models were not satisfied, a depth analysis of the reasons showed that it was the ignoring of the irrational factors on the impact of urban construction land. So the author advised to use the behavioral finance theory to study the land market participants’cognitive biases in decision process, improving the validity of the prediction model, which could be more scientific to urban space formation mechanism and evolution.