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Experiences and issues of using cellular automata for assisting urban and regional planning in China
Experiences and issues of using cellular automata for assisting urban and regional planning in China
- Source :
- International Journal of Geographical Information Science. 31:1606-1629
- Publication Year :
- 2017
- Publisher :
- Informa UK Limited, 2017.
-
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 feat...
- Subjects :
- 010504 meteorology & atmospheric sciences
Land use
Operations research
Management science
Geography, Planning and Development
0211 other engineering and technologies
Developing country
021107 urban & regional planning
Land-use planning
02 engineering and technology
Library and Information Sciences
Policy analysis
01 natural sciences
Cellular automaton
Geography
Urban planning
Regional planning
China
0105 earth and related environmental sciences
Information Systems
Subjects
Details
- ISSN :
- 13623087 and 13658816
- Volume :
- 31
- Database :
- OpenAIRE
- Journal :
- International Journal of Geographical Information Science
- Accession number :
- edsair.doi...........477212b23ccfa1bd854df82521222767
- Full Text :
- https://doi.org/10.1080/13658816.2017.1301457