Cellular Automation And VR-GIS Technology Based Three Dimensional Dyanmic Simulation And Application Study Of Urban Space Growth

With the high speed of urbanization and urban growth process, the urban phenomenon and problems are more complex than before, and have a more deeper influence on the health and sustainable development of economic, society and natural envionment. So, the exploration of the complexity, dynamics of urban evolution has been attached more importance, which has been becoming a significant subject of this century.Complexity and self-organization theory based simulation of urban dynamic growth takes urban space system as the study object, the temporal-spatial changes of urban space as the main research content, and the exploration of the natural law and dynamic factors of the urban evolution as the final goal, which has been the main tools used in studying the complexity of urban system. However, to date, most of the urban models are modeling through compressing the urban space to two dimensional space, that ignoring the influence from the third dimensional space. This has been the main shortage and limitation in dealing with morden cities, which are charactered with high buildings,even skyscrapers. So the third dimension of the urban space can not be ignored any more, which affect the dynamics of the whole city. In this thesis, we take the three dimensional urban space as the study object, and build up a three dimensional urban model to descripe the evolution process of our cities. Then through the simulation, analysis and application, to contribute the high dimension expanded exploration of the complexity of urban space.The main research work of this thesis could be summarized as following four points:(1) Introduce the complexity and self-organization theory, understanding the complexity, dynamics of urban evolution process and its inner laws, to study the urban space as a self-organization system;(2) According to the previous study, on the basis of self-organization theory, using cellular automation as the modeling tools, and defining the dynamic factors and rules of three dimensional space growth to build up a three dimensional urban space growth simulation model. According to the simulation results, to describe the formation and development of three dimensional space pattern, and analysis the sensity of the model parameters;(3) Integrating the cellular automation with VRGIS platform, to construct a virtual geographical space based dyanmic modeling framework, and using this framework as the simulation test tools. For one side, this is an application trail of the high dimensional modeling, for the other side, it is also a new attempt to further the close integration of VR and GIS to a higher level via application;(4) On the basis of the real city geographical data, expand the CA model to satisfy the demand of real city simulationm through coupling with an agent-based residential demand model and a CA based two dimensional development suitability model as the urban dynamic simulation engine to applied in the real city simulation. According to the project demand and the alternative hypothesis of future urban growth trends, to simulate and predict the generated spacial patterns of different future scenarios, and provide the scientific quantitative analysis for decision-makers and planners to understand the possible spatial changes and their effects to around environment under different future scenarios and policy objectives.