本文選題：公共停車場(chǎng) + GIS�。� 參考：《蘭州交通大學(xué)》2015年碩士論文

【摘要】：隨著我國(guó)國(guó)民經(jīng)濟(jì)的快速增長(zhǎng),交通需求急劇增加,很多城市尤其是大中城市都出現(xiàn)了交通擁擠和交通阻塞問題,乘車難、停車難的矛盾日漸突出。公共停車場(chǎng)對(duì)城市的交通具有很大影響,對(duì)其規(guī)劃問題進(jìn)行深入研究已經(jīng)成為刻不容緩的事情,而停車場(chǎng)規(guī)劃的關(guān)鍵是選址。因此,本文在前人研究的基礎(chǔ)上提出了一個(gè)結(jié)合GIS技術(shù)與遺傳算法的公共停車場(chǎng)選址方法,具體內(nèi)容包括:(1)分析了國(guó)內(nèi)外停車場(chǎng)選址問題的發(fā)展現(xiàn)狀,并提出了當(dāng)前在停車場(chǎng)選址中存在的問題,為本文的研究奠定了基礎(chǔ)。(2)闡述了城市公共停車場(chǎng)選址和GIS的相關(guān)理論基礎(chǔ),包括:城市公共停車場(chǎng)選址的原則、規(guī)律、常用方法和影響因素;影響城市停車需求的因素以及常用停車需求預(yù)測(cè)方法;GIS應(yīng)用于選址的優(yōu)勢(shì)、應(yīng)用方式以及利用GIS解決選址問題的操作步驟。(3)介紹了將GIS技術(shù)與遺傳算法結(jié)合起來對(duì)公共停車場(chǎng)進(jìn)行選址的一般步驟,首先確定選址目標(biāo)及影響因素,然后利用GIS的空間分析技術(shù),定量分析可以在電子圖上表現(xiàn)出來的影響停車場(chǎng)選址的因素,得到若干停車生成點(diǎn),最后運(yùn)用遺傳算法求出停車場(chǎng)的選址位置。(4)以蘭州市安寧區(qū)公共停車場(chǎng)選址為例,在對(duì)蘭州市安寧區(qū)停車現(xiàn)狀進(jìn)行深入調(diào)查后,分析了蘭州市安寧區(qū)的停車特點(diǎn),綜合比較了各種停車需求預(yù)測(cè)方法,對(duì)蘭州市安寧區(qū)未來的停車需求進(jìn)行了合理的預(yù)測(cè),并結(jié)合GIS技術(shù)對(duì)預(yù)測(cè)出的安寧區(qū)公共停車需求量按土地利用性質(zhì)進(jìn)行了分配。在停車需求預(yù)測(cè)的基礎(chǔ)上結(jié)合GIS和遺傳算法對(duì)蘭州市安寧區(qū)進(jìn)行公共停車場(chǎng)選址,驗(yàn)證了選址方法的可行性及合理性。
[Abstract]:With the rapid growth of our national economy and the rapid increase of traffic demand, many cities, especially large and medium-sized cities, have appeared traffic congestion and traffic congestion problems. Public parking has a great impact on urban traffic. It has become an urgent task to study the planning of public parking, and the key of parking planning is location selection. Therefore, on the basis of previous studies, this paper proposes a public parking location method combining GIS technology and genetic algorithm. The specific contents include: 1) analyze the development status of parking lot location problem at home and abroad. And put forward the existing problems in the parking lot location, lay a foundation for the study of this paper. (2) elaborated the urban public car park location and GIS related theoretical basis, including: urban public car park location principles, laws, The common methods and influencing factors, the factors influencing the parking demand of the city and the forecasting method of the common parking demand are the advantages of GIS applied in the location selection. The application mode and the operation steps of using GIS to solve the location problem are introduced. The general steps of combining GIS technology with genetic algorithm to locate the public parking lot are introduced. Firstly, the location target and the influencing factors are determined. Then, by using the spatial analysis technology of GIS, the factors which can be shown on the electronic map to influence the parking lot location are quantitatively analyzed, and some parking generating points are obtained. Finally, using genetic algorithm to find out the location of parking lot.) taking the location of public parking lot in Anning District of Lanzhou as an example, the parking characteristics of Anning District of Lanzhou City are analyzed after an in-depth investigation of the parking situation in Anning District of Lanzhou City. Based on the comprehensive comparison of various parking demand forecasting methods, the future parking demand in Anning District of Lanzhou City is reasonably forecasted, and the predicted public parking demand in Anning District is distributed according to the land use property combined with GIS technology. Based on the prediction of parking demand and GIS and genetic algorithm, the public parking lot location in Anning District of Lanzhou City is selected, and the feasibility and rationality of the method are verified.
【學(xué)位授予單位】：蘭州交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：U491.7

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本文編號(hào)：1855122