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重慶市公共交通網絡復雜性研究

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  本文關鍵詞:重慶市公共交通網絡復雜性研究 出處:《重慶交通大學》2014年碩士論文 論文類型:學位論文


  更多相關文章: 復雜網絡 城市公共交通網絡 拓撲參數(shù) 小世界特性


【摘要】:伴隨科學技術的迅猛發(fā)展,人們對網絡的認識越來越深入。近年來,來自生物、數(shù)學、計算機、經濟等不同學科領域的研究者對復雜網絡越來越關注,成為現(xiàn)代研究的一個熱點。城市公共交通網絡作為城市客運方面重要的基礎設施,對城市的經濟發(fā)展和市民生活水平的提高起到至關重要的作用,公共交通線路的規(guī)劃與運營對人們的出行有著重要影響。 本文采用復雜網絡的基本理論,以實證研究為向導,從重慶市公共交通系統(tǒng)的網絡拓撲結構出發(fā),按照Space-L方法構建了重慶市常規(guī)公共交通站點網絡、重慶市常規(guī)公共交通線路網絡以及重慶市廣義公共交通站點網絡、重慶市廣義公共交通線路網絡四個模型。通過分析這四個網絡模型中一些重要的拓撲參數(shù),如網絡節(jié)點的度與度分布、聚集系數(shù)以及最短路徑距離,利用計算機編程來對這些參數(shù)進行相關的分析及統(tǒng)計,得到重慶市不同公共交通網絡模式下的各種拓撲參數(shù)值,并進行相關的說明,,本文主要的內容可以分下面三部分講述。 首先,本文針對重慶市常規(guī)公共交通網絡建立了以常規(guī)公共交通站點為節(jié)點、站點間是否有公共交通線路相連為邊的站點網絡以及以常規(guī)公共交通線路為節(jié)點、線路之間是否經過相同的站點為邊的線路網絡。然后分別對這兩個網絡的有關度、度分布、聚類系數(shù)以及最短路徑距離做了相關的計算和分析,最后得出常規(guī)公共交通的站點網絡的度、聚類系數(shù)以及最短路徑距離的平均值分別為2.49、0.115和14.0541,并且前兩者服從冪律分布,后者服從高斯分布,而對于線路網絡得出居民日常出行的平均換乘次數(shù)為2.2236次; 其次,在常規(guī)公共交通網絡的基礎上加入重慶市軌道交通,形成重慶市廣義公共交通網絡。然后按照相同的建模方法針對重慶市廣義公共交通網絡的站點網絡以及線路網絡的度、度分布、聚類系數(shù)以及最短路徑距離進行編程計算及分析,分析得出在加入軌道交通后,重慶市的公共交通網絡的相關拓撲參數(shù)都得到了一定程度的優(yōu)化。 最后,對本文的研究數(shù)據(jù)進行總結分析,然后對重慶市公共交通節(jié)點網絡進行蓄意和隨機兩種攻擊模式下的研究。證明了重慶市公共交通網絡在蓄意攻擊下表現(xiàn)出較強的脆弱性以及在隨機攻擊下表現(xiàn)出較強的魯抗性;最后提出了有關后續(xù)研究的一些方向以及注意事項。
[Abstract]:With the rapid development of science and technology, people have more and more in-depth understanding of the network. In recent years, researchers from biology, mathematics, computer, economics and other different disciplines pay more and more attention to complex networks. As an important infrastructure in urban passenger transport, urban public transport network plays a vital role in the economic development of the city and the improvement of the standard of living of the citizens. The planning and operation of public transportation lines have an important impact on people's travel. In this paper, the basic theory of complex network and empirical research are used to guide the network topology of Chongqing public transportation system. According to the Space-L method, the network of Chongqing public transport stations, the Chongqing public transport line network and the general public transport station network of Chongqing are constructed. By analyzing some important topological parameters of the four network models, such as the degree and degree distribution of network nodes, the aggregation coefficient and the shortest path distance. Using computer programming to carry on the correlation analysis and statistics to these parameters, get the various topological parameters value under the different public transportation network mode of Chongqing, and carry on the related explanation. The main content of this paper can be divided into the following three parts. First of all, this paper establishes a conventional public transport station as a node for Chongqing public transport network. Whether there is a network of stations where public transport lines are connected to each other and where conventional public transport lines are used as nodes. Then the correlation degree, degree distribution, clustering coefficient and shortest path distance of the two networks are calculated and analyzed. Finally, the average values of station network, clustering coefficient and shortest path distance of conventional public transport are 2.49 and 14.0541respectively, and the former two are distributed according to power law. The latter is distributed from Gao Si, and for the line network, the average number of daily commutations is 2.2236; Secondly, on the basis of the conventional public transport network, join the Chongqing rail transit. Then according to the same modeling method, it aims at the degree and degree distribution of the station network and the line network of Chongqing generalized public transport network. The clustering coefficient and the shortest path distance are calculated and analyzed by programming. It is concluded that the relevant topological parameters of public transport network in Chongqing have been optimized to a certain extent after the addition of rail transit. Finally, the research data of this paper are summarized and analyzed. Then, the paper studies Chongqing public transport node network under two attack modes: intentional attack and random attack. It is proved that Chongqing public transport network shows strong vulnerability under intentional attack and random attack. Strong resistance to Lu; Finally, some directions and points for attention about the follow-up research are put forward.
【學位授予單位】:重慶交通大學
【學位級別】:碩士
【學位授予年份】:2014
【分類號】:U491.17

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本文編號:1390439


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