Fig 1.
Resource scheduling satisfaction at accident point.
Fig 2.
Probability level distribution under different accident scenarios.
Fig 3.
Coupling mechanism of fuzzy-random emergency resource demand.
Fig 4.
Transformation process of fuzzy-stochastic demand.
Table 1.
Confidence level and its significance.
Fig 5.
VEPSO Algorithmic framework.
Table 2.
Emergency resource inventory at rescue bases.
Table 3.
Information between emergency rescue bases and accident point.
Table 4.
Fuzzy-random resource demands from accident point and their fuzzy expectation.
Table 5.
Optimal emergency resource scheduling scheme under different credibility confidence levels.
Table 6.
Algorithm parameters and simulation results.
Table 7.
Results of the Friedman test of median ranks.
Table 8.
Multi-resource satisfaction evaluation at different confidence levels in different accident level scenarios.
Table 9.
Sensitivity analysis of resource requirements at a fixed confidence level.