DocumentCode :
2137066
Title :
Modelling evolution of urban agglomerations based on cellular automata
Author :
Juan Yang ; Xinqi Zheng ; Haining Wei
Author_Institution :
Land Sci. & Technol., China Univ. of Geosci., Beijing, China
fYear :
2013
fDate :
23-25 July 2013
Firstpage :
691
Lastpage :
696
Abstract :
Urban development and evolution of urban agglomeration are the important parts of the urban agglomeration theory. This paper uses complex system simulation cellular automata (CA) to study the evolution of the urban agglomeration, which simulates the process of the formation of urban agglomeration. This paper mainly considers the city appearance, expansion and formation. It analyzes the extended structure of the urban agglomeration space of China and summarizes the spatial expansion mode of urban agglomeration. It refers to the driving force of urban development from the comprehensive perspective. This research extracts the indicators which affect the urban development. Then it establishes the framework of the driving force of urban development. We set the driving force of urban development as an overall value. The CA model could achieve the driving force value by simulating the urban development and verifying the feasibility of the CA model with statistical analysis of the existing urban data. Finally, we select Shanghai as an example to conduct the quantitative empirical study, and summarize the modeling trend of urban agglomeration evolution. The purpose is to propose a feasible model for further study of evolution and to provide new ideas of the urban agglomeration evolution.
Keywords :
cellular automata; statistical analysis; town and country planning; CA; China; Shanghai; cellular automata; complex system simulation cellular automata; extended structure; modelling evolution; spatial expansion mode; statistical analysis; urban agglomeration evolution; urban agglomeration space; urban agglomeration theory; urban development; urban evolution; Analytical models; Cities and towns; Equations; Indexes; Mathematical model; Shape; Sociology; cellular automata(CA); geographic information system(GIS); urban agglomeration; urban development power;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2013 Ninth International Conference on
Conference_Location :
Shenyang
Type :
conf
DOI :
10.1109/ICNC.2013.6818064
Filename :
6818064
Link To Document :
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