Research on Characteristics of City Agglomeration Compound Traffic Network

doi:10.16182/j.issn1004731x.joss.201612012

Abstract

Abstract: In order to serve the economic development of city agglomeration, revealing the characteristics of city agglomeration compound traffic network was focused on. The model of city agglomeration compound traffic network was built using the site mapping method based on analysis of the structure of city agglomeration compound traffic network. The characteristics and specific calculation method based on complex network theory were put forward. Compound traffic network of road and rail traffic network was generated through an empirical study of Hu-Bao-E city group, and node degree, node degree distribution, average path length, clustering coefficient of this network be computed by Pajek and Matlab. By comparing the characteristics of road traffic network and compound traffic network, results show that superposition of the rail transit network can improve the accessibility of city agglomeration traffic network.

Key words: city agglomeration, compound traffic network, complex network, network characteristic

CLC Number:

U491

Li Chengbing, Wei Lei, Hao Yucheng. Research on Characteristics of City Agglomeration Compound Traffic Network[J]. Journal of System Simulation, 2016, 28(12): 2958-2965.

References

[1] Latora V, Marchiori M.Is the Boston subway a small-world network[J]. Physica A (S0378-4371), 2002, 314(1/4): 109-113.
[2] Sienkiewicz J, Holyst J A.Public transport systems in Poland: from Bialystok to Zielona Gora by bus and tram using universal statistics of complex networks[J]. Acta Physica Polonica (S1509-5770), 2005, 36(5): 310-317.
[3] Watts D J, Strogatz S H.Collective dynamics of small-world networks[J]. Nature (S0028-0836), 1998, 393(6684):440-442.
[4] Seaton K A, Hackett L M.Stations, trains and small-world networks[J]. Physica A Statistical Mechanics & Its Applications (S0378-4371), 2004, 339(3-4):635-644.
[5] Angeloudis P, Fisk D.Large subway systems as complex networks[J]. Physica A Statistical Mechanics & Its Applications (S0378-4371), 2006, 367(6512): 553-558.
[6] Yao X, Zhao P, Qiao K.Simulation and evaluation of urban rail transit network based on multi-agent approach[J]. Journal of Industrial Engineering & Management (S1735-5702), 2013, 6(1): 367-379.
[7] Derrible S, Kennedy C.Characterizing metro networks: state, form, and structure[J]. Transportation (S0049-4488), 2010, 37(2):275-297.
[8] 乔柯,赵鹏,姚向明. 城市轨道交通网络性能分析[J]. 交通运输系统工程与信息, 2012, 12(4): 115-121.
(Qiao K, Zhao P, Yao X M.Performance analysis of urban rail transit network[J]. Journal of Transportation Systems Engineering and Information Technology, 2012, 12(4): 115-121.)
[9] 张晋. 城市轨道交通线网结构特性研究 [D]. 北京: 北京交通大学, 2014: 159-181.
(Zhang J.Structural characteristic studies of urban rail transit network [D]. Beijing, China: Beijing Jiaotong University, 2014: 159-181.)
[10] 李英, 周伟, 郭世进. 上海公共交通网络复杂性分析[J]. 系统工程, 2007, 25(1): 38-41.
(Li Y, Zhou W, Guo S J.An analysis of complexity of public transportation network in Shanghai[J]. Systems Engineering, 2007, 25(1): 38-41.)
[11] 丁小兵. 复杂网络理论及其在上海城市轨道交通网络可靠性分析评价中的应用[J]. 城市轨道交通研究, 2012, 15(11): 50-53.
(Ding X B.Complex network theory and application in reliability of shanghai urban rail transit network[J]. Urban Mass Transit, 2012, 15(11): 50-53.)
[12] 卫振林, 甘杨杰, 赵鹏. 城市复合交通网络的若干特性研究[J]. 交通运输系统工程与信息, 2015, 15(1): 106-111.
(Wei Z L, Gan Y J, Zhao P.Characteristic research of urban complex traffic network[J]. Journal of Transportation Systems Engineering and Information Technology, 2015, 15(1): 106-111.)
[13] 曾明华, 李夏苗, 刘大鹏. 城市群交通网络特性[J]. 系统工程, 2009, 27(3): 10-15.
(Zeng H M, Li X M, Liu D P.The properties of traffic networks in urban clusters[J]. Systems Engineering, 2009, 27(3): 10-15.)
[14] 赵漫. 基于复杂网络理论的城市交通网络研究 [D]. 重庆: 重庆师范大学, 2012: 20-22.
(Zhao M.Research of characteristics of urban transport network based on complex network theory [D]. Chongqing, China: Chongqing Normal University, 2012: 20-22.)

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