Simulation prediction method for dynamic evolution simulation of urban greenbelt

A prediction method and green space technology, applied in forecasting, data processing applications, calculations, etc., can solve problems such as difficulty in ensuring a reasonable distribution of green space, large differences, and lack of consideration by the subject

Inactive Publication Date: 2012-09-12
TONGJI UNIV +1
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AI Technical Summary

Problems solved by technology

It is difficult to ensure that the green space satisfies the reasonable distribution of green space in the construction process
[0005] 2. In the prediction of urban green space, only the prediction under natural conditions is consid

Method used

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  • Simulation prediction method for dynamic evolution simulation of urban greenbelt
  • Simulation prediction method for dynamic evolution simulation of urban greenbelt
  • Simulation prediction method for dynamic evolution simulation of urban greenbelt

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Experimental program
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Embodiment Construction

[0023] Specifically, it can be summarized as the following five steps.

[0024] (1) Standardize all kinds of data, including graphic data such as green space status and restricted layers, and statistical data such as population and planning.

[0025] (2) Determine the number of Agents in the model, and determine the microcosmic impact of each agent on the evolution of urban green space. According to the simulated resident Agent distribution, the location utility of the land use unit and the probability that the land use unit is selected by the resident Agent as green space are calculated.

[0026] (3) Combining the logistic regression model to determine the distance variables and neighborhood variables that affect the evolution of urban green space, and calculate the logistic probability model of urban green space evolution based on each variable.

[0027] (4) Use the integrated model of multi-agent and cellular automata to calculate the comprehensive probability of urban gre...

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Abstract

The invention provides simulation prediction method for dynamic evolution simulation of urban greenbelt based on geo-cellular automata and multi-agent, which belongs to a technical field of geographic modeling and urban planning. Firstly, change data is obtained by overlay analysis and transition analysis of urban greenbelt thematic maps at two periods of time. Time and space configuration rules of the urban greenbelt are established by combining with a statistical model of urban greenbelt change and based on a multi-agent system theory, and a dynamic simulation model of the dynamic urban greenbelt is configured by adopting cellular automata; a logistic regression model is configured by combining with evolution of nature rules; parameters of the module according to social economic data are adjusted and reasonable expansion and transition rules are determined ; and a model builder toolset is established based on a powerful spatial modeling and analysis capability of GIS, by which simulation and prediction of the urban greenbelt change trend is carried out. The method in the invention realizes dynamic evolution simulation for the urban greenbelt, and is capable of providing assistant decision supports for making land use policy for government and city planners.

Description

technical field [0001] The invention belongs to the technical field of geographic modeling and urban planning, and in particular relates to a dynamic prediction method for urban green space changes. Background technique [0002] Urban green space is an important part of urban ecosystem, which plays a key role in improving urban living environment and maintaining ecological balance. On the one hand, urban green spaces can provide urban residents with a good living environment and enhance the naturalness of urban landscapes; on the other hand, they can provide urban organisms with a suitable ecological environment and promote the harmonious coexistence of urban residents and nature. The urban green space change model is based on the analysis of the urban green space change status to reveal the characteristics of the magnitude, speed and spatial distribution of the urban green space change. The trend of urban green space change in the future and its impact on the ecological en...

Claims

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Application Information

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IPC IPC(8): G06Q10/04
Inventor 陈蔚镇周立国马蔚纯
Owner TONGJI UNIV
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