Research Article
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 |
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