【摘要】：在幾十年的高速城市化以后,中國的城市面臨著越來越多的城市問題,規(guī)劃設(shè)計(jì)者們開始反思傳統(tǒng)城市規(guī)劃方法的弊端,探討提升城市規(guī)劃技術(shù)的途徑。計(jì)算機(jī)仿真模型是定量分析研究的有效技術(shù)手段,而智能體模型作為目前人工智能與社會(huì)學(xué)領(lǐng)域的研究熱點(diǎn),也受到越來越多的城市規(guī)劃領(lǐng)域?qū)W者的關(guān)注。近年來中國自然地質(zhì)災(zāi)害頻發(fā),城市綠地作為防災(zāi)避險(xiǎn)場所的地位越來越重要,但與之相對應(yīng)的規(guī)劃技術(shù)支撐卻十分薄弱。基于以上兩點(diǎn),本研究以智能體建模在避災(zāi)綠地規(guī)劃分析中的應(yīng)用為切入點(diǎn),探討智能體模型在城市規(guī)劃定量分析中的應(yīng)用。 研究通過對城市綠地系統(tǒng)規(guī)劃、綜合防災(zāi)規(guī)劃等相關(guān)規(guī)劃內(nèi)容的整理,基于智能體模型構(gòu)建理論,提出了構(gòu)建城市避災(zāi)綠地規(guī)劃分析模型的建模思路,在此基礎(chǔ)上經(jīng)過對比分析選擇了Repast S作為智能體建模軟件,繼而構(gòu)建了基于多智能體與GIS技術(shù)的仿真模型,對城市避災(zāi)綠地規(guī)劃方案進(jìn)行分析評(píng)價(jià)。通過不同尺度的規(guī)劃案例數(shù)據(jù)在模型中的測試,驗(yàn)證了所構(gòu)建的基于智能體的城市避災(zāi)綠地規(guī)劃分析模型的運(yùn)行與預(yù)期設(shè)想基本一致,也可為類似規(guī)劃的分析提供有益思路。本文的主要研究成果如下： (1)探討了智能體建模在城市規(guī)劃中的應(yīng)用特性、應(yīng)用條件及可能的應(yīng)用方向,明確了城市避災(zāi)綠地規(guī)劃的定義及其具體編制內(nèi)容與規(guī)劃流程,指出了目前規(guī)劃方法的不足與缺陷。在研究了智能體模型的構(gòu)建原理的基礎(chǔ)上結(jié)合避災(zāi)綠地規(guī)劃的定量分析提出了避災(zāi)綠地規(guī)劃分析模型的理論框架。 (2)研究了Repast S軟件在城市規(guī)劃中的應(yīng)用、常用的CAD制圖軟件的數(shù)據(jù)導(dǎo)入方法及其與GIS的集成方法,實(shí)現(xiàn)了從常用制圖數(shù)據(jù)到Repast S的應(yīng)用數(shù)據(jù)轉(zhuǎn)換、Agent在模型中的移動(dòng)與算法選擇、Agent的規(guī)則制訂等關(guān)鍵技術(shù)。 (3)通過中觀與宏觀兩個(gè)實(shí)際設(shè)計(jì)項(xiàng)目的數(shù)據(jù),對已構(gòu)建的智能體仿真模型進(jìn)行了實(shí)證研究,進(jìn)一步明確了從規(guī)劃方案數(shù)據(jù)導(dǎo)入、到模型調(diào)試——輸出結(jié)果的全部工作流程,提出了行之有效的城市避災(zāi)綠地規(guī)劃分析方法,驗(yàn)證了智能體仿真模型在避災(zāi)綠地規(guī)劃分析中的作用。
[Abstract]:After decades of rapid urbanization, Chinese cities are facing more and more urban problems. Planners begin to reflect on the drawbacks of traditional urban planning methods and explore ways to improve urban planning technology. Computer simulation model is an effective technique for quantitative analysis, and agent model is a hot topic in the field of artificial intelligence and sociology, which has attracted more and more scholars' attention in urban planning field. In recent years, with the frequent occurrence of natural geological disasters in China, urban green space is becoming more and more important as a place for disaster prevention and risk avoidance, but the corresponding planning technical support is very weak. Based on the above two points, this research focuses on the application of agent modeling in the planning and analysis of disaster avoidance greenbelt, and discusses the application of agent model in the quantitative analysis of urban planning. Based on the theory of agent model construction, this paper puts forward the idea of building urban green space planning analysis model based on the arrangement of urban green space system planning, comprehensive disaster prevention planning and other related planning contents. On the basis of comparative analysis, Repast S is chosen as the agent modeling software, and then the simulation model based on multi-agent and GIS technology is constructed to analyze and evaluate the planning scheme of urban disaster avoidance green space. Through the test of different scale planning case data in the model, it is verified that the operation of the model based on agent is basically consistent with the expected assumption, and it can also provide useful ideas for the analysis of similar planning. The main results of this paper are as follows: (1) the application characteristics, application conditions and possible application directions of agent modeling in urban planning are discussed. This paper clarifies the definition of urban green space planning for disaster avoidance, and points out the shortcomings and defects of the present planning methods. Based on the study of the construction principle of the agent model and the quantitative analysis of the disaster avoidance green space planning, the theoretical framework of the disaster avoidance green space planning analysis model is put forward. (2) this paper studies the application of Repast S software in urban planning, the data import method of CAD drawing software and its integration with GIS, and realizes the application data conversion from common drawing data to Repast S. The key technologies of Agent in the model, such as moving and algorithm selection, Agent rule making and so on. (3) through the data of the two actual design projects, the paper makes an empirical study on the agent simulation model, and further clarifies the whole work flow from the data import of the planning scheme to the debugging and output of the model. An effective method of urban green space planning and analysis is put forward, which verifies the role of agent simulation model in the planning and analysis of disaster avoidance green space.
【學(xué)位授予單位】：武漢大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2014
【分類號(hào)】：TU984.116

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 李暉;李志英;劉大邦;易娜;楊樹華;李國彥;;基于元胞自動(dòng)機(jī)的月亮山景區(qū)景觀格局動(dòng)態(tài)模擬[J];安徽農(nóng)業(yè)科學(xué);2011年03期

2 柳玲,艾及熙;GIS技術(shù)在城市規(guī)劃領(lǐng)域的應(yīng)用及發(fā)展[J];重慶建筑大學(xué)學(xué)報(bào)(社科版);2001年02期

3 于卓;吳志華;許華;;基于遺傳算法的城市空間生長模型研究[J];城市規(guī)劃;2008年05期

4 龍宏;王紀(jì)武;;基于空間途徑的城市生態(tài)安全格局規(guī)劃[J];城市規(guī)劃學(xué)刊;2009年06期

5 徐禮鵬;劉啟蒙;孫嬌嬌;;基于GIS的安慶市應(yīng)急避難場所空間布局特征分析與優(yōu)化[J];測繪與空間地理信息;2012年02期

6 朱寧;王大博;喬雙;;粒子群優(yōu)化算法在可供選擇城市規(guī)劃方案中的應(yīng)用[J];東北師大學(xué)報(bào)(自然科學(xué)版);2010年02期

7 黎夏,葉嘉安;基于神經(jīng)網(wǎng)絡(luò)的元胞自動(dòng)機(jī)及模擬復(fù)雜土地利用系統(tǒng)[J];地理研究;2005年01期

8 王波;張亮;孫霞;;CAD向GIS數(shù)據(jù)的轉(zhuǎn)換入庫[J];地理空間信息;2011年03期

9 宇林軍;孫丹峰;彭仲仁;李紅;;基于局部化轉(zhuǎn)換規(guī)則的元胞自動(dòng)機(jī)土地利用模型[J];地理研究;2013年04期

10 蔣云良,徐從富;智能Agent與多Agent系統(tǒng)的研究[J];計(jì)算機(jī)應(yīng)用研究;2003年04期

相關(guān)博士學(xué)位論文 前2條

1 徐昔保;基于GIS與元胞自動(dòng)機(jī)的城市土地利用動(dòng)態(tài)演化模擬與優(yōu)化研究[D];蘭州大學(xué);2007年

2 費(fèi)文君;城市避震減災(zāi)綠地體系規(guī)劃理論研究[D];南京林業(yè)大學(xué);2010年

相關(guān)碩士學(xué)位論文 前1條

1 車平川;基于GIS的城市公園綠地布局優(yōu)化研究[D];南京林業(yè)大學(xué);2010年

，

本文編號(hào)：2395006