發(fā)布時(shí)間：2018-01-07 01:37

  本文關(guān)鍵詞：重慶市公共交通網(wǎng)絡(luò)復(fù)雜性研究　出處：《重慶交通大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 復(fù)雜網(wǎng)絡(luò) 城市公共交通網(wǎng)絡(luò) 拓?fù)鋮?shù) 小世界特性

【摘要】：伴隨科學(xué)技術(shù)的迅猛發(fā)展，人們對(duì)網(wǎng)絡(luò)的認(rèn)識(shí)越來(lái)越深入。近年來(lái)，來(lái)自生物、數(shù)學(xué)、計(jì)算機(jī)、經(jīng)濟(jì)等不同學(xué)科領(lǐng)域的研究者對(duì)復(fù)雜網(wǎng)絡(luò)越來(lái)越關(guān)注，成為現(xiàn)代研究的一個(gè)熱點(diǎn)。城市公共交通網(wǎng)絡(luò)作為城市客運(yùn)方面重要的基礎(chǔ)設(shè)施，對(duì)城市的經(jīng)濟(jì)發(fā)展和市民生活水平的提高起到至關(guān)重要的作用，公共交通線路的規(guī)劃與運(yùn)營(yíng)對(duì)人們的出行有著重要影響。 本文采用復(fù)雜網(wǎng)絡(luò)的基本理論，以實(shí)證研究為向?qū)В瑥闹貞c市公共交通系統(tǒng)的網(wǎng)絡(luò)拓?fù)浣Y(jié)構(gòu)出發(fā)，按照Space-L方法構(gòu)建了重慶市常規(guī)公共交通站點(diǎn)網(wǎng)絡(luò)、重慶市常規(guī)公共交通線路網(wǎng)絡(luò)以及重慶市廣義公共交通站點(diǎn)網(wǎng)絡(luò)、重慶市廣義公共交通線路網(wǎng)絡(luò)四個(gè)模型。通過(guò)分析這四個(gè)網(wǎng)絡(luò)模型中一些重要的拓?fù)鋮?shù)，如網(wǎng)絡(luò)節(jié)點(diǎn)的度與度分布、聚集系數(shù)以及最短路徑距離，利用計(jì)算機(jī)編程來(lái)對(duì)這些參數(shù)進(jìn)行相關(guān)的分析及統(tǒng)計(jì)，得到重慶市不同公共交通網(wǎng)絡(luò)模式下的各種拓?fù)鋮?shù)值，并進(jìn)行相關(guān)的說(shuō)明，，本文主要的內(nèi)容可以分下面三部分講述。 首先，本文針對(duì)重慶市常規(guī)公共交通網(wǎng)絡(luò)建立了以常規(guī)公共交通站點(diǎn)為節(jié)點(diǎn)、站點(diǎn)間是否有公共交通線路相連為邊的站點(diǎn)網(wǎng)絡(luò)以及以常規(guī)公共交通線路為節(jié)點(diǎn)、線路之間是否經(jīng)過(guò)相同的站點(diǎn)為邊的線路網(wǎng)絡(luò)。然后分別對(duì)這兩個(gè)網(wǎng)絡(luò)的有關(guān)度、度分布、聚類系數(shù)以及最短路徑距離做了相關(guān)的計(jì)算和分析，最后得出常規(guī)公共交通的站點(diǎn)網(wǎng)絡(luò)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(duì)于線路網(wǎng)絡(luò)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(wǎng)絡(luò)的基礎(chǔ)上加入重慶市軌道交通，形成重慶市廣義公共交通網(wǎng)絡(luò)。然后按照相同的建模方法針對(duì)重慶市廣義公共交通網(wǎng)絡(luò)的站點(diǎn)網(wǎng)絡(luò)以及線路網(wǎng)絡(luò)的度、度分布、聚類系數(shù)以及最短路徑距離進(jìn)行編程計(jì)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(wǎng)絡(luò)的相關(guān)拓?fù)鋮?shù)都得到了一定程度的優(yōu)化。 最后，對(duì)本文的研究數(shù)據(jù)進(jìn)行總結(jié)分析，然后對(duì)重慶市公共交通節(jié)點(diǎn)網(wǎng)絡(luò)進(jìn)行蓄意和隨機(jī)兩種攻擊模式下的研究。證明了重慶市公共交通網(wǎng)絡(luò)在蓄意攻擊下表現(xiàn)出較強(qiáng)的脆弱性以及在隨機(jī)攻擊下表現(xiàn)出較強(qiáng)的魯抗性；最后提出了有關(guān)后續(xù)研究的一些方向以及注意事項(xiàng)。
[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(xué)位授予單位】：重慶交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：U491.17

【參考文獻(xiàn)】

相關(guān)期刊論文 前8條

1 俞桂杰;彭語(yǔ)冰;褚衍昌;;復(fù)雜網(wǎng)絡(luò)理論及其在航空網(wǎng)絡(luò)中的應(yīng)用[J];復(fù)雜系統(tǒng)與復(fù)雜性科學(xué);2006年01期

2 顧前;楊旭華;王萬(wàn)良;王波;;基于復(fù)雜網(wǎng)絡(luò)的城市公共交通網(wǎng)絡(luò)研究[J];計(jì)算機(jī)工程;2008年20期

3 楊雅琴;楊進(jìn)才;曹繼偉;;基于仿真平臺(tái)的復(fù)雜網(wǎng)絡(luò)建模研究[J];計(jì)算機(jī)與數(shù)字工程;2006年03期

4 王U

本文編號(hào)：1390439