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bnRep (version 0.0.3)

shipping: 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.

Arguments

Value

An object of class bn.fit. Refer to the documentation of bnlearn for details.

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);

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.