The Classified Management of Transport of Dangerous Goods Section

Abstract:

The classified management of transport of dangerous goods section, not only can reduce the possibility of transport of dangerous goods accident, but also reduce the severity of the consequences of the accident, has a more far-reaching significance to the security of the urban transport of dangerous goods. Fuzzy clustering method is applied to the classified management of transport of dangerous goods section, according to the different sections of the length, risk, as well as dangerous goods traffic, which sections of classification based on fuzzy clustering analysis method, an example of Pingxiang City of Jiangxi is given to illustrate the calculation process of the method. The category management and the corresponding management strategies is proposed suitable for transport of dangerous goods according to the classification results, and provide a viable basis for the government sector. Category management of transport of dangerous goods section, enabling the transport of dangerous goods more standardized, laid the foundation for the development of urban transport of dangerous goods industry.

• Periodical: Applied Mechanics and Materials (Volumes 178-181)
• Pages: 1815-1819
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.178-181.1815
• Online since: May 2012
• Authors: Shu Min Feng, Guo Qiang Yin
• Keywords: Classification Management, Fuzzy Clustering, Management Strategy, Sections, Transport of Dangerous Goods

References

[1] Erkute, Ingolfssona. Catastrophe Avoidance Models for Hazardous Materials Route Planning. Transportation Science, Vol. 34(2000), p.165

DOI: 10.1287/trsc.34.2.165.12303

[2] Erkute, Ingolfssona. Transport Risk Models for Hazardous Materials: Revisited. Operations Research Letters, Vol. 33(2005). p.81

[3] WEI Hang, LI Jun, WANG Hao. Analysis of Total Risk of Hazardous Material During Transportation. China Safety Science Journal, Vol. 15(2004), p.97

[4] Zografos K G, Androutsopoulos K N. A Heuristic Algorithm for Solving Hazardous Materials Distribution Problems. European Journal of Operational Research, Vol. 152(2004), p.507

DOI: 10.1016/s0377-2217(03)00041-9

[5] Ren Changxing, Wu Tsung-Li. Multi-objective Pareto Preferred Line of Road Transportation of Dangerous Goods based on Risk Analysis. China Safety Science and Technology, Vol. 4(2008), p.10

[6] Qin Junchang, Zhang Jinliang, king Archive Liang. Robust Optimization Model of Dangerous Goods Transport Routes Selection. Statistics and Decision, Vol. 20 (2009), p.25

[7] Erhan Erkuta, Osman Alpb. Designing a Road Network for Hazardous Materials Shipments. Computers&Operations Research, Vol. 34(2007), p.1389

DOI: 10.1016/j.cor.2005.06.007

[8] Erhan Erkuta, Fatma Gzarab. Solving the Hazmat Transport Network Design Problem[J]. Computers&Operations Research, Vol. 35(2008), p.2234

DOI: 10.1016/j.cor.2006.10.022

[9] Songjie Zhen, Ding, Meng Linli. Network Design of Transport of Dangerous Goods based on Bbilevel Programming. Shanghai Maritime University, Vol. 2 (2006), p.57

[10] Lepofsky. Transportation Hazard Analysis in Intgrated GIS Environmen. Journal of Transport Engineering, Vol. 119(1993), p.239

[11] Ren Changxing, Wu Tsung, Tang Shaojie. Risk Management System of Road Transport Process of Dangerous Goods. China Safety Science and Technology, Vol. 3(2007), p.17

[12] Zeng Yi. The Dangerous Goods Logistics Survey. Logistics Technology, 5(2007), p.40

[13] Wan Renxin, Liu Ronghou. Fuzzy Clustering Method in the Integrated Rural Energy divisions. Agricultural Engineering, Vol. 12(1991), p.14

[14] Song Shasha, Dai Feng, Wei Baolu. Incident Classification based on Fuzzy Analytic Hierarchy Process and Clustering Analysis. Scientific decision-making, Vol. 10(2010), p.68

[15] Yin Guoqiang. Network Optimization and Category Management of Sections of Dangerous Goods Transportation. Harbin Institute of Technology, 2011, p.51