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

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

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 use and land cover change (LUCC) models have...

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Bibliographic Details
Main Authors:	Jinyao Lin, Tongli Chen, Qiazi Han
Format:	Article
Language:	English
Published:	MDPI AG 2018-04-01
Series:	Sustainability
Subjects:	Light Rail Transit urban land use change cellular automata artificial neural network land use change prediction
Online Access:	http://www.mdpi.com/2071-1050/10/4/1293

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