Experiences and issues of using cellular automata for assisting urban and regional planning in China. Issue 8 (3rd August 2017)

• Record Type: Journal Article
• Authors: Li, Xia; Chen, Yimin; Liu, Xiaoping; Xu, Xiaocong; Chen, Guangliang
• Is Part Of: International journal of geographical information science. Volume 31:Issue 8(2017)
• Page Start: 1606
• Page End: 1629
• Publication Date: 2017-08-03
• Subjects: Cellular automata -- simulation -- urban development -- urban and regional planning -- China -- developing countries; Geography -- Data processing -- Periodicals; Information storage and retrieval systems -- Periodicals; Géomatique -- Périodiques; Systèmes d'information -- Périodiques; 910.285
• DOI: 10.1080/13658816.2017.1301457
• Languages: English
• ISSNs: 1365-8816

Abstract

ABSTRACT: Since the late 1990s, there are growing studies on the development of cellular automata (CA) as a simulation tool for assisting urban and regional planning in China. Rapid urban development is the main reason that this country has become one of the best places to test the methodology of CA and analyze the effectiveness of using these models. This paper attempts to summarize the experiences and issues of using CA to solve various environmental and planning problems in China. The analysis is based on the literature review using the search engines of ISI Web of Science and Google Scholar. These experiences could be important for those who want to apply CA in developing countries. For example, which environmental and ecological problems can be solved by using this bottom-up approach? What are the data inputs to these models and how can they be calibrated? Our analyses indicate that CA have the great potential to support land-use planning and policy analysis for fast-growing regions. Some specific features of using CA in China are also identified in the literature review, including delineation of urban growth boundary, prevention of illegal development and formulating zoning schemes. The CA studies in this fast-growing country provided valuable experiences for other developing countries to solve a series of simulation and planning problems by using this bottom-up approach.