土地規(guī)劃約束下的城市土地利用變化元胞自動(dòng)機(jī)模擬
發(fā)布時(shí)間：2018-12-11 18:16
【摘要】：元胞自動(dòng)機(jī)模型是(CellularAutumata,CA)一種時(shí)間、空間、狀態(tài)都離散,空間上的相互作用及時(shí)間上的因果關(guān)系皆局部的網(wǎng)格動(dòng)力學(xué)模型。CA以其自身“自下而上”的模擬能力,強(qiáng)大的離散計(jì)算功能,固有的時(shí)空平行算法被廣泛應(yīng)用于城市形態(tài)和土地利用變化的模擬和預(yù)測研究中,體現(xiàn)了城市土地利用在空間和數(shù)量上的雙重變化。但現(xiàn)有的研究中,將自上而下的土地規(guī)劃引導(dǎo)與約束加入元胞自動(dòng)機(jī)中模擬土地利用變化的模型較少且針對性不強(qiáng),缺少對土地規(guī)劃和空間發(fā)展策略的時(shí)空分異性約束,階段性約束和區(qū)域性約束的量化表達(dá)。因此,本文利用土地規(guī)劃的用地功能分類和約束條件的動(dòng)態(tài)性改進(jìn)了約束性城市土地利用變化元胞自動(dòng)機(jī),構(gòu)建了土地規(guī)劃約束下的城市土地利用變化元胞自動(dòng)機(jī)模型。本研究首先從元胞自動(dòng)機(jī)的基礎(chǔ)理論和土地規(guī)劃“三界四區(qū)”對于土地利用變化的影響分析出發(fā),歸納分類了土地利用變化因子,分析了土地規(guī)劃約束對于土地利用變化的影響并將其分類為全局約束條件、區(qū)域約束條件和土地規(guī)劃功能分區(qū)約束條件。最后在此基礎(chǔ)上構(gòu)建了土地規(guī)劃約束下的城市土地利用變化元胞自動(dòng)機(jī)模型并進(jìn)行了實(shí)例驗(yàn)證。主要研究內(nèi)容和成果如下:(1)梳理了元胞自動(dòng)機(jī)模型在城市用地變化模擬的應(yīng)用和表達(dá)。分析了土地規(guī)劃對于城市土地利用變化的影響并對土地利用變化影響因子進(jìn)行了分析和重分類。(2)研究了土地利用因子和土地規(guī)劃和城市規(guī)劃相關(guān)性數(shù)據(jù),劃分土地規(guī)劃約束條件為三類即全局約束條件、區(qū)域約束條件和土地規(guī)劃功能分區(qū)約束條件。利用二元邏輯回歸模型、緩沖區(qū)、規(guī)劃系數(shù)等約束條件的模型化,提出了動(dòng)態(tài)規(guī)劃發(fā)展因子,依據(jù)一般發(fā)展與優(yōu)先發(fā)展級(jí)別確定了規(guī)劃發(fā)展影響表達(dá)式和系數(shù)的推演,建立了土地利用變化約束條件的最終表達(dá)模型。(3)在耦合土地規(guī)劃約束條件于元胞自動(dòng)機(jī)模型中的基礎(chǔ)上,建立了土地規(guī)劃約束下的城市土地利用變化元胞自動(dòng)機(jī)轉(zhuǎn)換規(guī)則,構(gòu)建了土地規(guī)劃約束下的城市土地利用變化元胞自動(dòng)機(jī)并確立了模型參數(shù)的設(shè)立與糾正規(guī)則。(4)以南京市區(qū)多期歷史土地利用數(shù)據(jù)、總體規(guī)劃數(shù)據(jù)和交通道路數(shù)據(jù)等為例,將創(chuàng)建的土地規(guī)劃約束下的城市土地利用變化元胞自動(dòng)機(jī)應(yīng)用于研究區(qū)中。模擬了南京市市區(qū)2000年、2005年的土地利用變化。利用Lee-Sallee系數(shù)和Kappa系數(shù)對比分析實(shí)際情況和模擬情況,驗(yàn)證了模型的精度和實(shí)用性。
[Abstract]:Cellular automata model is (CellularAutumata,CA) a grid dynamic model with discrete time, space and state, local interaction in space and causality in time. CA has its own "bottom-up" simulation ability. With its powerful discrete computing function, the inherent space-time parallel algorithm is widely used in the simulation and prediction of urban morphology and land use change, which reflects the spatial and quantitative changes of urban land use. However, in the existing studies, the top-down land planning guidance and constraints are added to the cellular automata to simulate land use change models, and lack of spatio-temporal constraints on land planning and spatial development strategies. Quantitative expression of stage constraints and regional constraints. Therefore, based on the land use function classification and the dynamic constraints of land planning, this paper improves the constrained urban land use change cellular automata, and constructs the urban land use change cellular automata model under the land planning constraints. Based on the basic theory of cellular automata and the analysis of the influence of land planning "three boundaries and four areas" on land use change, the paper summarizes and classifies the factors of land use change. The effects of land planning constraints on land use change are analyzed and classified into global constraints, regional constraints and zoning constraints of land planning functions. Finally, the cellular automata model of urban land use change under the constraint of land planning is constructed and verified by an example. The main contents and achievements are as follows: (1) the application and expression of cellular automata model in urban land use change simulation are reviewed. The influence of land planning on urban land use change is analyzed, and the factors of land use change are analyzed and reclassified. (2) the relevant data of land use factor and land planning and urban planning are studied. Land planning constraints are divided into three categories: global constraints, regional constraints and zoning constraints of land planning functions. By using the model of binary logic regression model, buffer zone and planning coefficient, the development factor of dynamic programming is put forward. According to the general development and priority development level, the influence expression and coefficient of planning development are determined. The final expression model of land use change constraints is established. (3) based on the coupled land planning constraints in the cellular automata model, The conversion rules of cellular automata for urban land use change (LUCF) are established under the constraints of land planning. The cellular automata of urban land use change (LUCF) under the constraints of land planning are constructed, and the establishment and correction rules of the model parameters are established. (4) taking the urban land use data, master planning data and traffic road data for example, The urban land use change cellular automata (LUCA) under land planning constraints is applied to the study area. The land use change in 2000 and 2005 in Nanjing city was simulated. The accuracy and practicability of the model are verified by comparing and analyzing the actual situation and simulation by using Lee-Sallee coefficient and Kappa coefficient.
【學(xué)位授予單位】：南京師范大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：TP301.1;F301.2
本文編號(hào)：2373004
[Abstract]:Cellular automata model is (CellularAutumata,CA) a grid dynamic model with discrete time, space and state, local interaction in space and causality in time. CA has its own "bottom-up" simulation ability. With its powerful discrete computing function, the inherent space-time parallel algorithm is widely used in the simulation and prediction of urban morphology and land use change, which reflects the spatial and quantitative changes of urban land use. However, in the existing studies, the top-down land planning guidance and constraints are added to the cellular automata to simulate land use change models, and lack of spatio-temporal constraints on land planning and spatial development strategies. Quantitative expression of stage constraints and regional constraints. Therefore, based on the land use function classification and the dynamic constraints of land planning, this paper improves the constrained urban land use change cellular automata, and constructs the urban land use change cellular automata model under the land planning constraints. Based on the basic theory of cellular automata and the analysis of the influence of land planning "three boundaries and four areas" on land use change, the paper summarizes and classifies the factors of land use change. The effects of land planning constraints on land use change are analyzed and classified into global constraints, regional constraints and zoning constraints of land planning functions. Finally, the cellular automata model of urban land use change under the constraint of land planning is constructed and verified by an example. The main contents and achievements are as follows: (1) the application and expression of cellular automata model in urban land use change simulation are reviewed. The influence of land planning on urban land use change is analyzed, and the factors of land use change are analyzed and reclassified. (2) the relevant data of land use factor and land planning and urban planning are studied. Land planning constraints are divided into three categories: global constraints, regional constraints and zoning constraints of land planning functions. By using the model of binary logic regression model, buffer zone and planning coefficient, the development factor of dynamic programming is put forward. According to the general development and priority development level, the influence expression and coefficient of planning development are determined. The final expression model of land use change constraints is established. (3) based on the coupled land planning constraints in the cellular automata model, The conversion rules of cellular automata for urban land use change (LUCF) are established under the constraints of land planning. The cellular automata of urban land use change (LUCF) under the constraints of land planning are constructed, and the establishment and correction rules of the model parameters are established. (4) taking the urban land use data, master planning data and traffic road data for example, The urban land use change cellular automata (LUCA) under land planning constraints is applied to the study area. The land use change in 2000 and 2005 in Nanjing city was simulated. The accuracy and practicability of the model are verified by comparing and analyzing the actual situation and simulation by using Lee-Sallee coefficient and Kappa coefficient.
【學(xué)位授予單位】：南京師范大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：TP301.1;F301.2
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