Connectivity characteristics of urban road network elements based on improved degree
Article Text (Baidu Translation)
-
摘要: 结合城市路网车道属性(数量、宽度与方向等) 扩展了复杂网络中度的定义, 分别研究了原始法和对偶法下城市路网中交叉口和道路元素的连接特性; 考虑实际路网与居民出行认知特性, 将交叉口定义为节点, 基于赋名道路法与类Stroke分析从居民认知角度界定道路元素, 重点结合机动车道数改进原始度的概念; 在新的路网元素界定下, 使用基于改进测度的平均最近邻度方法分析了交叉口与道路的连接特性, 并考虑现有方法的不足, 提出了连接系数的概念, 更好地明确其连接关系; 以厦门市主城区为例对分析方法进行验证, 分析了主城区路网连接特性。研究结果表明: 该城市交叉口元素网络和道路元素网络皆为无标度网络, 其幂指数分别为1.69、2.70;路网元素的连接皆以某一节点为临界呈现分段特性, 其中, 基于改进度的连接系数邻界点取值分别为3.40、8.33;道路元素的等级测度临界点取值为5, 基于等级测度的连接系数临界点取值为3, 从这一角度来看, 城市路网并非简单的同配或异配网络; 提出的路网元素连接特性分析方法对城市路网拓扑特性的认识及路网演化模型的构建具有重要意义。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.Thelane 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.
-
[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. doi: 10.1038/30918 [3] BARABSI A, ALBERT R. Emergence of scaling in random networks[J]. Science, 1999, 286: 509-512. doi: 10.1126/science.286.5439.509 [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. doi: 10.1068/b306 [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. doi: 10.1016/j.physa.2007.10.014 [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: aprimal approach[J]. Environment and Planning B: Planning and Design, 2006, 33 (5): 705-725. doi: 10.1068/b32045 [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. doi: 10.1016/j.physa.2005.12.063 [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. doi: 10.1140/epjb/e2006-00085-1 [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. doi: 10.1016/j.physa.2007.05.064 [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. doi: 10.1140/epjb/e2009-00290-4 [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. doi: 10.3969/j.issn.1672-4747.2012.01.003YE 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). doi: 10.3969/j.issn.1672-4747.2012.01.003 [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. https://www.cnki.com.cn/Article/CJFDTOTAL-WHCH201605016.htmTIAN 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). https://www.cnki.com.cn/Article/CJFDTOTAL-WHCH201605016.htm [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. doi: 10.1111/tgis.12299 [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. http://transport.chd.edu.cn/article/id/201702012FU 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). http://transport.chd.edu.cn/article/id/201702012 [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. https://www.cnki.com.cn/Article/CJFDTOTAL-WLXB201723007.htmXING 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). https://www.cnki.com.cn/Article/CJFDTOTAL-WLXB201723007.htm [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. -
下载:
图(11)
计量
- 文章访问数: 1386
- HTML全文浏览量: 289
- PDF下载量: 712
- 被引次数: 0
