College of Management, Shenzhen University, Shenzhen 518071, China; Shenzhen International Maritime Institute, Shenzhen 518083, China.
College of Management, Shenzhen University, Shenzhen 518071, China; Shenzhen International Maritime Institute, Shenzhen 518083, China.
Mar Pollut Bull. 2024 Oct;207:116817. doi: 10.1016/j.marpolbul.2024.116817. Epub 2024 Aug 12.
Ship transportation is a primary mode for global trade and cargo transport, yet even minor discrepancies can lead to ship accidents, causing severe secondary environmental pollution. Maritime accidents involve complex and numerous factors. Formal Concept Analysis (FCA) can identify the key contributing factors and their impact levels by eliminating homogenization factors in maritime accidents. This study constructs an innovative FCA model of ship accidents in Chinese waters, utilizing 172 ship accident reports released by the China Maritime Safety Administration. The analysis reveals seven reduced sets and 23 diagnostic rules of ship accidents. Results show that failed ship registration/security inspection, deficient nautical data and instruments, and management issues are the most critical factors. Three accident chains are identified and corresponding mitigation strategies are proposed to reduce potential pollution from ship accidents. These strategies offer significant reference value for preventing ship accidents and reducing their environmental impact in China and globally.
船舶运输是全球贸易和货物运输的主要方式，但即使是微小的差异也可能导致船舶事故，造成严重的二次环境污染。海上事故涉及复杂和众多的因素。形式概念分析（FCA）可以通过消除海上事故中的同质化因素来识别关键的促成因素及其影响程度。本研究利用中国海事局发布的 172 份船舶事故报告，构建了中国水域船舶事故的创新 FCA 模型。分析结果揭示了七个约简集和 23 条船舶事故诊断规则。结果表明，船舶登记/安全检查不合格、航海数据和仪器不足以及管理问题是最关键的因素。确定了三个事故链，并提出了相应的缓解策略，以减少船舶事故造成的潜在污染。这些策略为中国乃至全球预防船舶事故和减少其对环境的影响提供了重要的参考价值。
