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Table 1.

Literature on transportation network restoration.

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Fig 1.

The workflow in this study.

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Table 2.

Pseudocode for the GA.

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Fig 2.

Solution representation.

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Fig 3.

Crossover operation.

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Fig 4.

Mutation operation.

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Fig 5.

Six-node network.

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Fig 6.

Nguyen–dupuis network.

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Table 3.

Parameter settings in the metaheuristic algorithms.

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Table 4.

Information about disrupted links.

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Table 5.

Results of disrupted links.

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Table 6.

Restoration results for the three strategies.

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Fig 7.

Comparison of total travel time and total restoration duration.

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Table 7.

Information about disrupted links of the Nguyue–Dupuis network.

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Table 8.

Comparison between the GA and the other methods.

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Fig 8.

Performance of the three algorithms.

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Table 9.

Optimal restoration results under different confidence levels.

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Fig 9.

Impact of the confidence level on the CVaR-R value.

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Fig 10.

Changes in the network performance under different confidence levels.

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Table 10.

Optimal restoration results under different demand levels.

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Fig 11.

Changes in the network performance under different demand levels.

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Table 11.

Optimal restoration results under different resource levels.

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Fig 12.

Impact of the resource level on the CVaR-R value.

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Fig 13.

Changes in the network performance under different resource levels.

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