Metrics for Assessing Overall Performance of Inland Waterway Ports: A Bayesian Network Based Approach

Table 13

Summary of propagation analyses.

Scenario	Description of the Scenario	PPI	Standard of the Port	Significance of the propagation	Remarks
Base Case	Underlying BN Model	87.82%	Class B	-	-
Scenario 1; (Pessimistic Scenario)	Service hr = 8hr, Transit time=36hr; (Other variables remain unchanged)	74.87%	Class C	Shows how probability of PPI changes with service level (service availability and transit time)	Port Service criterion has a significant impact on the probability of PPI.
Scenario 2; (Optimistic Scenario)	Throughput=30 million ton, Dredging Maintenance=100% True,; Port environment =100 True% (all environmental criteria are met)	91.28%	Class A	Shows how probability of PPI varies with port facility (throughput), port availability (dredging maintenance) and port environment.	Port facility, port availability and port environment have less impact on the probability of PPI compared to port service