Dynamic simulation of land use changes in port city: a case study of Dalian, china

The study investigates the modeling process for simulating the land use changes in a port city, Dalian, China. Using remote sensing data, an integrated approach coupling with logistic regression, Markov Chain, and cellular automata is designed. Aimed at port city, both natural and socio-economic determinants involved, especially port related factors are imported to strengthen pertinence and particularity in research. Three different spatial growth scenarios are simulated based upon various land-use expectations. The results verify the reliability of the proposed approach and illustrate different simulation outcomes. This research can provide scenario-based decision-making support to port city to achieve land-use sustainable development. (C) 2013 The Authors. Published by Elsevier Ltd.