Study on Wharf Accidents Based on the Grey Correlation Analysis

• Published in: Applied Mechanics and Materials Vol. 505-506; no. Advances in Transportation; pp. 683 - 688
• Main Authors: Wang, Xiao Li, Peng, Shi Tao, Li, Xiao Xiao, Guan, Wen Ling
• Format: Journal Article
• Language: English
• Published: Zurich Trans Tech Publications Ltd 01.01.2014
• Subjects: Accidents; Correlation analysis; Human factors; Management; Mathematical models; Quantitative analysis; Statistics; Wharves; Petrochemical Wharf; Main Related Factors; Accident Statistics; Grey Correlation Analysis
• ISBN: 9783038350064; 3038350060
• ISSN: 1660-9336; 1662-7482; 1662-7482
• DOI: 10.4028/www.scientific.net/AMM.505-506.683

In order to determine the main related factors affecting the wharf safety, this paper presents a model using the grey correlation analysis process to give a quantitative analysis about accidents in petrochemical wharf. Based on the statistics of wharf accidents in a petrochemical wharf of Tianjin Port from 2008 to 2012, the study analyzes four main accidents and related causes that take place in a petrochemical wharf. The grey correlation degree of the factors are calculated and analyzed including human factor, no emergency measures, equipment damage, poor management, environmental factor in petrochemical wharf, respectively. The result shows that the main causes of accidents are operation against rules and poor management in petrochemical wharf, and operation against rules is the most important factor. The application of grey correlation analysis gives a quantitative analysis to the degree affected by different factors so that wharf accidents can be avoided by taking effective measures.