1. Postgraduate Training Brigade, Military Transportation University, Tianjin 300161, China;
2. General Course Department, Military Transportation University, Tianjin 300161, China
Identification of Key Nodes in a Road Network Using the Fusion of Nodes with Degree Traffic Characteristics and LISH Model
WANG Yuan1, ZHENG Gui-xing2, WANG Peng1
1. Postgraduate Training Brigade, Military Transportation University, Tianjin 300161, China;
2. General Course Department, Military Transportation University, Tianjin 300161, China
摘要This paper proposes a method for increasing the efficiency of identifying key nodes in a road network, especially in large-scale complex ones. The method was established based on spatial weighted degree and local improved structural hole (LISH) models by using node degrees fused with traffic characteristics. The node degree was redefined, and the traffic characteristics of a road network were integrated into the LISH model. The proposed method for calculating key nodes was validated using the backbone road network of Shaanxi Province. Result confirms the feasibility and rationality of the model. The improved LISH model is also more effective than existing models in identifying key nodes in the road network. This study provides a technical basis for determining key nodes of large-scale complex road networks by using GIS.
Abstract：This paper proposes a method for increasing the efficiency of identifying key nodes in a road network, especially in large-scale complex ones. The method was established based on spatial weighted degree and local improved structural hole (LISH) models by using node degrees fused with traffic characteristics. The node degree was redefined, and the traffic characteristics of a road network were integrated into the LISH model. The proposed method for calculating key nodes was validated using the backbone road network of Shaanxi Province. Result confirms the feasibility and rationality of the model. The improved LISH model is also more effective than existing models in identifying key nodes in the road network. This study provides a technical basis for determining key nodes of large-scale complex road networks by using GIS.
通讯作者:
WANG Yuan,E-mail address:zgkjpl@163.com
E-mail: zgkjpl@163.com
引用本文:
王元, 郑贵省, 王鹏. 融合交通特性节点度和LISH模型的公路网关键节点辨识方法[J]. Journal of Highway and Transportation Research and Development, 2016, 10(3): 74-77.
WANG Yuan, ZHENG Gui-xing, WANG Peng. Identification of Key Nodes in a Road Network Using the Fusion of Nodes with Degree Traffic Characteristics and LISH Model. Journal of Highway and Transportation Research and Development, 2016, 10(3): 74-77.
[1] SHEN Hong-fei, JIA Li-min, WANG Xiao-jing, et al. Evaluation Indexes and Identification Method of Key Nodes Based on Structural Characteristics of Road Network[J]. Journal of Highway and Transportation Research and Development, 2012, 29(9):138-142. (in Chinese)
[2] XU Ming, WU Jian-ping, DU Yi-man, et al. A Method of Key Node Ranking for Road Network Based on Tripartite Graph[J]. Journal of Beijing University of Posts and Telecommunications, 2014, 37(S1):51-54. (in Chinese)
[3] ZHANG Xuan. Comparative Study of Key Nodes between Communication Network and Road Network[D]. Beijing:Beijing University of Posts and Telecommunications, 2013. (in Chinese)
[4] ZHONG Ru. Research of Key Nodes and Important Sections of the Road Network[D]. Beijing:Beijing University of Posts and Telecommunications, 2013.(in Chinese)
[5] GAO Lian-xiong, WU Jian-ping, LIU Rui. Key Nodes Mining in Transport Networks Based on PageRank Algorithm[C]//2009 Chinese Control and Decision Conference (CCDC 2009). Guilin:IEEE, 2009:4413-4416.
[6] SHEN Hong-fei. An Approach to Analysis and Evaluation of Highway Network Structural Properties for Risk Assessment and Emergency Management[D]. Beijing:Beijing Jiaotong University, 2012. (in Chinese)
[7] WANG Zheng-wu, KUANG Ai-wu, WANG He-jie, et al. Calculation of Node Important Degree for Traffic Network Considering Cascading Failure[J]. Journal of Highway and Transportation Research and Development, 2012, 29(5):96-101. (in Chinese)
[8] TAN Yue-jin, WU Jun, DENG Hong-zhong. Evaluation Method for Node Importance based on Node Contraction in Complex Networks[J]. Systems Engineering-Theory & Practice, 2006, 26(11):79-105. (in Chinese)
[9] YU Hui, LIU Zun, LI Yong-jun. Using Local Improved Structural Holes Method to Identify Key Nodes in Complex Networks[C]//2013 Fifth International Conference on Measuring Technology and Mechatronics Automation (ICMTMA). Hongkang:IEEE, 2013:1292-1295.
[10] WAN Neng, ZHAN F B, CAI Zhong-liang. A Spatially Weighted Degree Model for Network Vulnerability Analysis[J]. Geo-spatial Information Science, 2011, 14(4):274-281.
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2016, Vol. 10 
