A Bayesian Network risk model for estimating coastal maritime transportation delays following an earthquake in British Columbia.
An object of class bn.fit
. Refer to the documentation of bnlearn
for details.
A discrete Bayesian network for estimating the delays in maritime transportation to island communities in British Columbia, resulting from a major earthquake in the region. Probabilities were given within the referenced paper. The vertices are:
Arrival-related delays (L0, B0_6, B6_12, B12_24, B24_48, M48);
Bridge safety assessment required (Yes, No);
Bathymetric survey required - destination (Yes, No);
Bathymetric survey required - origin (Yes, No);
Bridge over navigation route (Yes, No);
Communication infrastructure damage - destination (Low, Medium, High);
Communication infrastructure damage - origin (Low, Medium, High);
Community needs (Low, Medium, High);
Communication system restauration required (Yes, No);
Delay due to arranging crew members (L0, B0_6, B6_12, B12_24, B24_48, M48);
Departure-related delays (L0, B0_6, B6_12, B12_24, B24_48, M48);
Delay in dangerous goods reporting (L0, B0_6, B6_12, B12_24, B24_48, M48);
Dangerous good reporting required (Yes, No);
Destination location (V_Isl_W, V_Isl_E, V_Isl_S);
Delay due to tsunami warning - destination (L0, B0_6, B6_12, B12_24, B24_48, M48);
Delay due to tsunami warning - origin (L0, B0_6, B6_12, B12_24, B24_48, M48);
Earthquake epicentre location (V_Isl_W_offshore, V_Isl_E_offshore, V_Isl_Inland, BC_ML);
Earthquake severity - destination (VI_or_less, VII, VIII, IX, X_or_more);
Earthquake severity - origin (VI_or_less, VII, VIII, IX, X_or_more);
Earthquake severity - regional (VI_or_less, VII, VIII, IX, X_or_more);
Mandatory minimum ship crew required (Yes, No);
Origin location (V_Isl_W, V_Isl_E, V_Isl_S, BC_ML);
Personnel availability - destination (Low, Medium, High);
Personnel availability - origin (Low, Medium, High);
Route delay (L0, B0_6, B6_12, B12_24, B24_48, M48);
Time required for bridge safety assessment (L0, B0_6, B6_12, B12_24, B24_48, M48);
Time required for bathymetric survey - destination (L0, B0_6, B6_12, B12_24, B24_48, M48);
Time required for bathymetric survey - origin (L0, B0_6, B6_12, B12_24, B24_48, M48);
Time required for communication system restauration - destination (L0, B0_6, B6_12, B12_24, B24_48, M48);
Time required for communication system restauration - origin (L0, B0_6, B6_12, B12_24, B24_48, M48);
Terminal infrastructure damage - destination (Low, Medium, High);
Terminal infrastructure damage - origin (Low, Medium, High);
Time required for terminal recovery ops - destination (L0, B0_6, B6_12, B12_24, B24_48, M48);
Time required for terminal recovery ops - origin (L0, B0_6, B6_12, B12_24, B24_48, M48);
Tsunami warning - destination (Yes, No);
Tsunami warning - origin (Yes, No);
Voyage-related delays (L0, B0_6, B6_12, B12_24, B24_48, M48);
Vessel type (BC_Ferries, Seaspan, Barge);
Waterway infrastructure damage - destination (Low, Medium, High);
Waterway infrastructure damage - origin (Low, Medium, High);
Goerlandt, F., & Islam, S. (2021). A Bayesian Network risk model for estimating coastal maritime transportation delays following an earthquake in British Columbia. Reliability Engineering & System Safety, 214, 107708.