Post-Disaster Recovery optimization for Road-Bridge Network Considering Restoration Ability and Economic Loss

A road-bridge network is considered to have N nodes and M arcs, in which a node represents a major road intersection, a commercial hub, or a key destination in a community and an arc represents a section of the road including a single bridge. Since bridges are vulnerable components in the road-bridge transportation system, the recovery of a road-bridge network highly depends on the recovery of bridges after the disaster. The bridge, which can improve the performance of the roadbridge network highly and quickly, should be restored as soon as possible for controlling the economic loss caused by disasters. Therefore, the recovery optimization of post-disaster bridges is considered to enhance the restoration ability and control the economic loss simultaneously for the road-bridge network.In this paper, the skew of recovery trajectory (SRT) is introduced to evaluate the restoration ability, and the economic loss is extended to consider the indirect loss. The SRT is the restoration ability based on system resilience, which is related to the reliability, redundancy, and the importance level of bridges. Considering the restoration ability and economic loss, we proposed a multi-objective recovery optimization model for the road-bridge network to obtain the optimal recovery scheme of damaged bridges. This model is solved through the non-dominated sorting genetic algorithm II (NSGA-II). The influence of the number of simultaneous construction teams on the recovery scheme is analyzed, and the composition of economic loss with different SRT and the number of construction teams is with the intent to support engineer's decision-making capability. The results show that the decision-makers should first consider incorporating more construction teams and then determine the SRT according to the requirements of the recovery time.