R/shipping.R

In bnRep: A Repository of Bayesian Networks from the Academic Literature

#' shipping Bayesian Network
#'
#' Leverage Bayesian Network and Fault Tree Method on Risk Assessment of LNG Maritime Transport Shipping Routes: Application to the China–Australia Route.
#'
#' @usage NULL
#'
#' @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:
#' \describe{
#'   \item{AirlineInherentRisks}{(Yes, No);}
#'   \item{CoastalPortsRisk}{(Yes, No);}
#'   \item{DeepChannel}{(Yes, No);}
#'   \item{DifficultHandlingLNG}{(Yes, No);}
#'   \item{FewerPorts}{(Yes, No);}
#'   \item{FireRiskLNG}{(Yes, No);}
#'   \item{HeavyFog}{(Yes, No);}
#'   \item{HeavyTraffic}{(Yes, No);}
#'   \item{HighCurrent}{(Yes, No);}
#'   \item{HighWaves}{(Yes, No);}
#'   \item{ImpactEpidemic}{(Yes, No);}
#'   \item{InfluencePoliticalGame}{(Yes, No);}
#'   \item{InfluenceWeather}{(Yes, No);}
#'   \item{LNGLoadingRisk}{(Yes, No);}
#'   \item{LNGTransportRisk}{(Yes, No);}
#'   \item{LongDistance}{(Yes, No);}
#'   \item{LowVisibility}{(Yes, No);}
#'   \item{MaritimeSecurity}{(Yes, No);}
#'   \item{MilitaryConflict}{(Yes, No);}
#'   \item{NonTraditionalThreat}{(Yes, No);}
#'   \item{ObjectiveFactors}{(Yes, No);}
#'   \item{PiracyAttack}{(Yes, No);}
#'   \item{PoorDraftLevel}{(Yes, No);}
#'   \item{PoorOrganization}{(Yes, No);}
#'   \item{SafetyPerformanceLNG}{(Yes, No);}
#'   \item{SafetyRoutes}{(Yes, No);}
#'   \item{SeaBreezeEffect}{(Yes, No);}
#'   \item{SovereignityDispute}{(Yes, No);}
#'   \item{StrongSeaBreeze}{(Yes, No);}
#'   \item{StrongWinds}{(Yes, No);}
#'   \item{SubjectiveFactors}{(Yes, No);}
#'   \item{Thunderstorms}{(Yes, No);}
#'   \item{TransportLNGRisk}{(Yes, No);}
#'   \item{UncertainNavigablePeriod}{(Yes, No);}
#'    \item{UnsafePersonnel}{(Yes, No);}
#'     \item{VesselRisk}{(Yes, No);}
#'    }
#'
#' @return An object of class \code{bn.fit}. Refer to the documentation of \code{bnlearn} for details.
#' @keywords ReverseTree
#' @importClassesFrom bnlearn bn.fit
#' @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.
"shipping"