Research on scenario simulation of land-use planning based on CA model: A case study in Kunming metropolitan area

Xue Li; Yongxue Liu; Xingzi Fu

doi:10.1117/12.764622

7 August 2007 Research on scenario simulation of land-use planning based on CA model: A case study in Kunming metropolitan area

Xue Li, Yongxue Liu, Xingzi Fu

Author Affiliations +

Proceedings Volume 6754, Geoinformatics 2007: Geospatial Information Technology and Applications; 67541O (2007) https://doi.org/10.1117/12.764622
Event: Geoinformatics 2007, 2007, Nanjing, China

Abstract

Rapid urbanization and the following conversions of land-use have caused series of social and environment problems. To construct a model of land-use conversions has been considered as a powerful tool to analyze the reason, process and results of the conversions, and to make land-use planning and interrelated policies. Cellular Automata (CA) is a kind of bottom-up model which has advantages in simulation method as well as simulation results. However, there are some weaknesses in supporting the land-use planning. The way to extend the usage of CA model in this field is to model dynamic spatial processes of different urban future planning scenarios. An improved CA model is designed in order to meet the new requirement of land-use planning scenario simulation. After the design of CA model, scenario simulation of Kunming metropolitan area will be demonstrated and discussed. In the application, 3 different targets, different density patterns and different planning regulation are provided for the CA model to bring out different scenario simulation results. The results show that this model can be used to recognize the different effects of different land-use planning. It provides a more directly aspect to evaluate the land-use planning, and finally supports the government to construct the new round of land-use planning.

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Xue Li, Yongxue Liu, and Xingzi Fu "Research on scenario simulation of land-use planning based on CA model: A case study in Kunming metropolitan area", Proc. SPIE 6754, Geoinformatics 2007: Geospatial Information Technology and Applications, 67541O (7 August 2007); https://doi.org/10.1117/12.764622

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KEYWORDS

Data modeling

Data conversion

Process modeling

Systems modeling

Analytical research

Complex systems

Raster graphics

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