Analysis on Topological Properties of Dalian Hazardous Materials Road Transportation Network

• Published in: Mathematical problems in engineering Vol. 2015; no. 2015; pp. 1 - 11
• Main Authors: Yang, Jianting, Deng, Shaowei, Shuai, Bin, Chong, Pengyun, Yin, Hui
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 01.01.2015; Hindawi Limited
• Subjects: Airports; Algorithms; Clustering; Construction materials; Growth models; Hazardous materials; Mathematical models; Networks; Neural networks; Nodes; Power law; Probability distribution functions; Queuing theory; Railway networks; Road transportation; Science; Statistical analysis; Strength; Studies; Topology; Traffic flow; Transportation networks; Transportation services
• ISSN: 1024-123X; 1563-5147
• DOI: 10.1155/2015/340780

To analyze the topological properties of hazardous materials road transportation network (HMRTN), this paper proposed two different ways to construct the cyberspace of HMRTN and constructed their complex network models, respectively. One was the physical network model of HMRTN based on the primal approach and the other was the service network model of HMRTN based on neighboring nodes. The two complex network models were built by using the case of Dalian HMRTN. The physical network model contained 154 nodes and 238 edges, and the statistical analysis results showed that (1) the cumulative node degree of physical network was subjected to exponential distribution, showing the network properties of random network and that (2) the HMRTN had small characteristic path length and large network clustering coefficient, which was a typical small-world network. The service network model contained 569 nodes and 1318 edges, and the statistical analysis results showed that (1) the cumulative node degree of service network was subjected to power-law distribution, showing the network properties of scale-free network and that (2) the relationship between nodes strength and their descending order ordinal and the relationship between nodes strength and cumulative nodes strength were both subjected to power-law distribution, also showing the network properties of scale-free network.