原文传递
Forecasting Prooabnity of Tanker Accidents Using Logistic Regression Model
| 题名： | Forecasting Prooabnity of Tanker Accidents Using Logistic Regression Model |
| 正文语种： | 中文 |
| 作者： | 韓子建 |
| 关键词： | Logistic regression model;Tanker accident;Total-loss |
| 摘要： | This study applied the logistic regression model to investigate the causes of serious oil tanker accidents. The statistical data was derived from the IMO's global integrated shipping information system from 1980 to 2010. The purpose of the study was to identify the actual risk factors for accidents that caused the total loss of the tanker. It was found that the type of the tanker and the type of accident were significantly related to the total accident loss. In particular, the sinking of a small tanker accident would lead to high risk of loss of assets. Therefore, the safety management of small oil tankers should focus on reducing the frequency of sinking caused by accidents; specifically, safety management strategies should be adopted to improve the maintenance of machinery and equipment; focus on personnel safety training. |
| 期刊名称： | 航运季刊 |
| 出版年： | 2017 |
| 期： | 12 |
| 页码： | 103-119 |
相关文献
- Application of Bayesian networks in analysing tanker shipping bankruptcy risks
- An Approach of Identifying the Criticalities of the Casual Factors Involved in a Marine Casualty
- OPTIMAL SHIFT SCHEDULING FOR AIR TRAFFIC CONTROLLERS
- APPLICATION OF COST-BENEFIT EVALUATION FOR CRUDE OIL TRANSPORTATION ROUTE SELECTION BY CHARTERER
- The efficiency analysis of world top container ports using two-stage uncertainty DEA model and FCM
- APPLICATION OF HFACS TO INVESTIGATE HUMAN ERRORS IN RUNWAY SAFETY RELATED OCCURRENCES
检索历史
应用推荐
