|Table of Contents|

Connectivity characteristics of urban road network elements based on improved degree(PDF)

《交通运输工程学报》[ISSN:1671-1637/CN:61-1369/U]

Issue:
2018年02期
Page:
101-110
Research Field:
交通运输规划与管理
Publishing date:

Info

Title:
Connectivity characteristics of urban road network elements based on improved degree
Author(s):
WANG Shi-guang1; 2; 3;  YU De-xin1; 2; 3;  WANG Shu-xing4;  XING Ru-ru1; 2; 3;  LI Zhi-lin5
1. School of Transportation, Jilin University, Changchun 130022, Jilin, China; 2. Jilin Research Center for Intelligent Transportation System, Jilin University, Changchun 130022, Jilin, China; 3. Jilin Province Key Laboratory of Road Traffic, Jilin University, Changchun 130022, Jilin, China; 4. Shandong Hi-Speed Company Limited, Jinan 250014, Shandong, China; 5. Traffic Management Research Institute of the Ministry of Public Security, Wuxi 214151, Jiangsu, China
Keywords:
traffic planning;  urban road network;  connectivity characteristic;  degree correlation;  power-law distribution;  complex network
PACS:
U491.1
DOI:
-
Abstract:
Combined with the lane properties(number, width, direction, etc.)of urban road network, the definition of degree in complex network was extended. The connectivity characteristics of road network elements including roads and intersections were analyzed by using primal and dual approaches respectively. Considering the features of real road network and resident trip cognition, intersections were regarded as nodes, and roads were determined by named street approach and stroke-like analysis from the perspective of resident cognition. The lane number of motor vehicle was emphasized to improve the concept of degree. Under the new definition of network elements, the connectivity characteristics of intersections and roads were analyzed by using the method of average nearest neighbors' degree based on the improved measures. Considering the deficiency of existing method, the concept of link coefficient was proposed so that a more clear connectivity characteristic was found. The main urban zone of Xiamen City was regarded as an example, the connectivity characteristics of road network were analyzed to validate the analysis method. Analysis result shows that the city's intersection and road element networks are both scale-free networks, and the power exponents are 1.69 and 2.70, respectively. The clear segmentation features are exhibited with the boundaries of particular points. Among them, the threshold values of link coefficients based on improved degree are 3.40 and 8.33, separately. The threshold value of hierarchical measure of roads is 5, and the threshold value of link coefficient based on the hierarchical measure is 3. From the point of view, it is shown that the urban road network is not simple assortative or disassortative network. The proposed analysis method of connectivity characteristics of urban network elements is of great significance for recognizing the topologic properties of urban road network and building network evolution model. 11 figs, 29 refs.

References:

[1] 吴建军.城市交通网络拓扑结构复杂性研究[D].北京:北京交通大学,2008.
WU Jian-jun. Studies on the complexity of topology structure in the urban traffic network[D]. Beijing: Beijing Jiaotong University, 2008.(in Chinese)
[2] WATTS D J, STROGATZ S H. Collective dynamics of ‘small-world' networks[J]. Nature, 1998, 393: 440-442.
[3] BARABÁSI A, ALBERT R. Emergence of scaling in random networks[J]. Science, 1999, 286: 509-512.
[4] WU Jian-jun, GAO Zi-you, SUN Hui-jun, et al. Urban transit system as a scale-free network[J]. Modern Physics Letters B, 2004, 18(19/20): 1043-1049.
[5] JIANG Bin, CLARAMUNT C. Topological analysis of urban street networks[J]. Environment and Planning B: Planning and Design, 2004, 31(1): 151-162.
[6] CRUCITTI P, LATORA V, PORTA S. Centrality in networks of urban streets[J]. Chaos, 2006, 16(1): 1-9.
[7] SCELLATO S, CARDILLO A, LATORAV, et al. The backbone of a city[J]. The European Physical Journal B: Condensed Matter and Complex Systems, 2006, 50(1/2): 221-225.
[8] WU Jian-jun, GAO Zi-you, SUN Hui-jun. Optimal traffic networks topology: a complex networks perspective[J]. Physica A: Statistical Mechanics and Its Applications, 2008, 387(4): 1025-1032.
[9] DING Rui, UJANG N, HAMID H B, et al. Complex network theory applied to the growth of Kuala Lumpur's public urban rail transit network[J]. Plos One, 2015, 10(10): 1-22.
[10] MASUCCI A P, STANILOV K, BATTY M. Exploring the evolution of London's street network in the information space: a dual approach[J]. Physical Review E: Statistical, Nonlinear, and Soft Matter Physics, 2014, 89: 1-7.
[11] PORTA S, CRUCITTI P, LATORA V. The network analysis of urban streets: a primal approach[J]. Environment and Planning B: Planning and Design, 2006, 33(5): 705-725.
[12] PORTA S, CRUCITTI P, LATORA V. The network analysis of urban streets: a dual approach[J]. Physica A: Statistical Mechanics and Its Applications, 2006, 369(2): 853-866.
[13] THOMSON R C.Bending the axial line: smoothly continuous road centre-line segments as a basis for road network analysis[C]∥Space Syntax Steering Committee. Proceedings of the 4th International Space Syntax Symposium. London: Space Syntax Steering Committee, 2003: 1-10.
[14] BUHL J, GAUTRAIS J, REEVES N, et al. Topological patterns in street networks of self-organized urban settlements[J]. The European Physical Journal B: Condensed Matter and Complex Systems, 2006, 49(4): 513-522.
[15] CRUCITTI P, LATORA V, PORTA S. Centrality measures in spatial networks of urban streets[J]. Physical Review E:Statistical, Nonlinear, and Soft Matter Physics, 2006, 73(3): 1-5.
[16] JIANG Bin. A topological pattern of urban street networks: universality and peculiarity[J]. Physica A: Statistical Mechanics and Its Applications, 2007, 384(2): 647-655.
[17] MASUCCI A P, SMITH D, CROOKS A, et al. Random planar graphs and the London street network[J]. The European Physical Journal B: Condensed Matter and Complex Systems, 2009, 71(2): 259-271.
[18] 叶彭姚.城市道路网拓扑结构的复杂网络特性研究[J].交通运输工程与信息学报,2012,10(1):13-19,30.
YE Peng-yao. Complex network characteristics of urban road network topology[J]. Journal of Transportation Engineering and Information, 2012, 10(1): 13-19, 30.(in Chinese)
[19] 田 晶,武晓环,林镠鹏,等.城市道路网的度相关性及其与网络鲁棒性的关系研究[J].武汉大学学报:信息科学版,2016,41(5):672-678.
TIAN Jing, WU Xiao-huan, LIN Liu-peng, et al. Degree correlation of urban street networks and its relationship with network robustness[J].Geomatics and Information Science of Wuhan University, 2016, 41(5): 672-678.(in Chinese)
[20] TIAN Jing, FANG Hua-qiang, WANG Yi-heng, et al. On the degree correlation of urban road networks[J].Transactions in GIS, 2018, 22: 119-148.
[21] 吴洲豪.基于对偶拓扑的城市路网复杂性案例研究[D].西安:长安大学,2014.
WU Zhou-hao. A case study on the complexity of urban road networks based on the dual approach[D]. Xi'an: Chang'an University, 2014.(in Chinese)
[22] 曹炜威.城市道路网结构复杂性定量描述及比较研究[D].成都:西南交通大学,2015.
CAO Wei-wei. Quantitative description on structural complexity of urban road networks[D]. Chengdu: Southwest Jiaotong University, 2015.(in Chinese)
[23] 付 鑫,杨 宇,孙 皓.出租汽车出行轨迹网络结构复杂性与空间分异特征[J].交通运输工程学报,2017,17(2):106-116.
FU Xin, YANG Yu, SUN Hao. Structural complexity and spatial differentiation characteristics of taxi trip trajectory network[J]. Journal of Traffic and Transportation Engineering, 2017, 17(2): 106-116.(in Chinese)
[24] WANG Shi-guang, ZHENG Li-li, YU De-xin. The improved degree of urban road traffic network: a case study of Xiamen, China[J]. Physica A: Statistical Mechanics and Its Applications, 2017, 469: 256-264.
[25] ZHANG Wei, WANG Shi-guang, TIAN Xiu-juan, et al. The backbone of urban street networks: degree distribution and connectivity characteristics[J]. Advances in Mechanical Engineering, 2017, 9(11): 1-11.
[26] 邢 雪,于德新,田秀娟,等.结合可视图的多状态交通流时间序列特性分析[J].物理学报,2017,66(23):1-9.
XING Xue, YU De-xin, TIAN Xiu-juan, et al. Analysis of multi-state traffic flow time series properties using visibility graph[J]. Acta Physica Sinica, 2017, 66(23): 1-9.(in Chinese)
[27] JIANG Bin, CLARAMUNT C. A structural approach to the model generalization of an urban street network[J]. GeoInformatica, 2004, 8(2): 157-171.
[28] PASTOR-SATORRAS R, VAZQUEZ A,VESPIGNANI A. Dynamical and correlation properties of the internet[J].Physical Review Letters, 2001, 87(25): 1-4.
[29] ROSVALL M, TRUSINA A, MINNHAGEN P, et al. Networks and cities: an information perspective[J]. Physical Review Letters, 2005, 94(2): 1-4.

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Last Update: 2018-05-20