shipping {bnRep} | R Documentation |
shipping Bayesian Network
Description
Leverage Bayesian Network and Fault Tree Method on Risk Assessment of LNG Maritime Transport Shipping Routes: Application to the China–Australia Route.
Format
A discrete Bayesian network to evaluate the occurrence likelihood of risk of transporting liquefied natural gas on the China–Australia Route. Probabilities were given within the referenced paper. The vertices are:
- AirlineInherentRisks
(Yes, No);
- CoastalPortsRisk
(Yes, No);
- DeepChannel
(Yes, No);
- DifficultHandlingLNG
(Yes, No);
- FewerPorts
(Yes, No);
- FireRiskLNG
(Yes, No);
- HeavyFog
(Yes, No);
- HeavyTraffic
(Yes, No);
- HighCurrent
(Yes, No);
- HighWaves
(Yes, No);
- ImpactEpidemic
(Yes, No);
- InfluencePoliticalGame
(Yes, No);
- InfluenceWeather
(Yes, No);
- LNGLoadingRisk
(Yes, No);
- LNGTransportRisk
(Yes, No);
- LongDistance
(Yes, No);
- LowVisibility
(Yes, No);
- MaritimeSecurity
(Yes, No);
- MilitaryConflict
(Yes, No);
- NonTraditionalThreat
(Yes, No);
- ObjectiveFactors
(Yes, No);
- PiracyAttack
(Yes, No);
- PoorDraftLevel
(Yes, No);
- PoorOrganization
(Yes, No);
- SafetyPerformanceLNG
(Yes, No);
- SafetyRoutes
(Yes, No);
- SeaBreezeEffect
(Yes, No);
- SovereignityDispute
(Yes, No);
- StrongSeaBreeze
(Yes, No);
- StrongWinds
(Yes, No);
- SubjectiveFactors
(Yes, No);
- Thunderstorms
(Yes, No);
- TransportLNGRisk
(Yes, No);
- UncertainNavigablePeriod
(Yes, No);
- UnsafePersonnel
(Yes, No);
- VesselRisk
(Yes, No);
Value
An object of class bn.fit
. Refer to the documentation of bnlearn
for details.
References
Chang, Z., He, X., Fan, H., Guan, W., & He, L. (2023). Leverage Bayesian network and fault tree method on risk assessment of LNG maritime transport shipping routes: Application to the China-Australia route. Journal of Marine Science and Engineering, 11(9), 1722.