Prediction of Underground Space Development Function of Existing Industrial District in City Based on CA-Markov Model

Scientific analysis of the spatial evolution existing industrial areas in cities and prediction future development needs will help to rationally allocate land resources urban renewal, scientifically develop underground space, promote sustainable areas. First all, mode leading function type zone city are sorted out, its corresponding space is further out. It found that zones closely related dominant functions location ground renewal. To guide cities, this study proposes a method based on dynamics model CA-Markov predict which improve efficiency Benefits rational allocation great significance.