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Simulating and Predicting the Impacts of Light Rail Transit Systems on Urban Land Use by Using Cellular Automata: A Case Study of Dongguan, China

Jinyao Lin, Tongli Chen and Qiazi Han

The emergence of Light Rail Transit systems (LRTs) could exert considerable impacts on sustainable urban development. It is crucial to predict the potential land use changes since LRTs are being increasingly built throughout the world. While various land ... see more

Light Rail Transit | urban land use change | cellular automata | artificial neural network | land use change prediction

Sustainability , 2018

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