Related studies on BN
| Study | Methodology | Objective | Results |
|---|---|---|---|
| Animah (2024) | Bibliometric analysis | Comprehensive review of BN's role in the maritime sector | BN is helpful to assist decision-making and risk assessment, but the quality of the data and the validation method need to be improved |
| Chen et al. (2022) | Fuzzy BN (FBN) | Analyze marine accidents and identify influential risk factors | Weather and lowered crew vigilance increased risk of accident |
| Fan et al. (2023) | Dynamic BN combined with Markov chains | Improve the resilience of the route and identify time-related risk factors | Terrorism is the biggest risk in the Indian Ocean |
| Jiang and Lu (2020) | BN | Predicting the risk of maritime piracy in Southeast Asia | BN can predict the risk of piracy effectively and help to make accurate decisions |
| Pristrom et al. (2016a) | BN | Create an analytical estimation model for hijacking attempt in the West India/East Africa region | BN calculated the possibility of hijacking and provided cost-effective solutions for future decisions |
| Dabrowski and De Villiers (2015) | Dynamic BN (DBN) | Model creation of piracy situations and real-time threat analysis | DBN created realistic simulations, although it faces problems related to high-dimensional data |
| Bouejla et al. (2014) | BN | Risk assessment model development for piracy risk analysis on offshore oil platforms | The BN model with the SARGOS system can analyze the piracy, highlighting its adaptability to real-time changes |
| Chang et al. (2021) | Failure modes and effects analysis combined with evidential reasoning and rule-based BN | Determine the major hazards of Maritime Autonomous Surface Ships (MASS) | MASS interaction with manned vessels produces the highest risk |
| Li et al. (2014) | BN with logistic regression | Quantify the risk of maritime accidents from real-life data | BN network captured the relationship between influential risks and its relationship with ship characteristics |
| Li et al. (2024) | Data-driven Tree-Augmented BN (TAN) | Compare the performance of layered BN against TAN | TAN outperformed BN in predicting the severity and evolution of risk patterns in maritime accidents |
| Study | Methodology | Objective | Results |
|---|---|---|---|
| Bibliometric analysis | Comprehensive review of BN's role in the maritime sector | BN is helpful to assist decision-making and risk assessment, but the quality of the data and the validation method need to be improved | |
| Fuzzy BN (FBN) | Analyze marine accidents and identify influential risk factors | Weather and lowered crew vigilance increased risk of accident | |
| Dynamic BN combined with Markov chains | Improve the resilience of the route and identify time-related risk factors | Terrorism is the biggest risk in the Indian Ocean | |
| BN | Predicting the risk of maritime piracy in Southeast Asia | BN can predict the risk of piracy effectively and help to make accurate decisions | |
| BN | Create an analytical estimation model for hijacking attempt in the West India/East Africa region | BN calculated the possibility of hijacking and provided cost-effective solutions for future decisions | |
| Dynamic BN (DBN) | Model creation of piracy situations and real-time threat analysis | DBN created realistic simulations, although it faces problems related to high-dimensional data | |
| BN | Risk assessment model development for piracy risk analysis on offshore oil platforms | The BN model with the SARGOS system can analyze the piracy, highlighting its adaptability to real-time changes | |
| Failure modes and effects analysis combined with evidential reasoning and rule-based BN | Determine the major hazards of Maritime Autonomous Surface Ships (MASS) | MASS interaction with manned vessels produces the highest risk | |
| BN with logistic regression | Quantify the risk of maritime accidents from real-life data | BN network captured the relationship between influential risks and its relationship with ship characteristics | |
| Data-driven Tree-Augmented BN (TAN) | Compare the performance of layered BN against TAN | TAN outperformed BN in predicting the severity and evolution of risk patterns in maritime accidents |
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