Complexity Analysis of Qingdao's Public Transport Network

被引:0
作者
Liu, Li [1 ]
Li, Ran [1 ]
Shao, Fengjing [1 ]
Sun, Rencheng [1 ]
机构
[1] Qingdao Univ, Informat & Engn Dept, Qingdao 266071, Peoples R China
来源
2009 INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION SYSTEMS AND APPLICATIONS, PROCEEDINGS | 2009年
关键词
complex network; transportation transfer network; degree distribution; negative correlation; small-word;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Public transport network reflects the whole city's public transport environment, the geometrical property of which plays an important role on the public transportation. In this paper, the theory of complex network was used to study the public transport network of Qingdao and construct the transportation transfer network based on the stops. In order to study this network, some calculations are made to get topology such as degree distribution, clustering coefficient, average path length and so on. It is found that clustering coefficient couldn't show the density of the network clearly and has negative correlation with the numbers of the bus line passed that stop. The result shows that the public transport network of Qingdao is a connected network with a rather small average path length and a big clustering coefficient and its degree distribution follows the exponential distribution. All of these prove that the Qingdao public transport network exhibits the small-word properties and Qingdao's Public Transportation is rather convenient.
引用
收藏
页码:300 / 303
页数:4
相关论文
共 12 条
[1]   Statistical mechanics of complex networks [J].
Albert, R ;
Barabási, AL .
REVIEWS OF MODERN PHYSICS, 2002, 74 (01) :47-97
[2]  
CHEN LP, EFFICIENCY COMPLEX W
[3]   The worldwide air transportation network:: Anomalous centrality, community structure, and cities' global roles [J].
Guimerá, R ;
Mossa, S ;
Turtschi, A ;
Amaral, LAN .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2005, 102 (22) :7794-7799
[4]   Topological analysis of urban street networks [J].
Jiang, B ;
Claramunt, C .
ENVIRONMENT AND PLANNING B-PLANNING & DESIGN, 2004, 31 (01) :151-162
[5]   Is the Boston subway a small-world network? [J].
Latora, V ;
Marchiori, M .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2002, 314 (1-4) :109-113
[6]   Efficient behavior of small-world networks [J].
Latora, V ;
Marchiori, M .
PHYSICAL REVIEW LETTERS, 2001, 87 (19) :198701-1
[7]  
Li W., 2003, Statistical analysis of airport network of china
[8]   Stations, trains and small-world networks [J].
Seaton, KA ;
Hackett, LM .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2004, 339 (3-4) :635-644
[9]  
SEN P, 2002, SMALL WORLD PROPERTI
[10]  
Sun RC, 2008, 2008 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS, VOLS 1-6, P1147, DOI 10.1109/ICAL.2008.4636324