Optimal decision making in post-hazard bridge recovery strategies for transportation networks after seismic events

Abstract

In this study, optimal post-hazard bridge recovery strategies were proposed for transportation networks under seismic conditions. To predict the performance of the transportation network, a robust performance measure, total system travel time (TSTT), was employed, and an artificial neural network (ANN)-based surrogate model was developed to enable an accelerated Monte Carlo analysis. In addition, a sensitivity analysis based on the benefit-cost ratio was proposed to support optimal decision making immediately after an earthquake. To demonstrate the proposed methodology, an actual transportation network in South Korea was adopted, and a network map was reconstructed based on geographic information system (GIS) data. A surrogate model for network performance evaluation was constructed using training data generated based on historical earthquake epicenters. In addition, the damage ratio and required recovery days according to the damage states of bridges were employed to perform network recovery analysis. For the numerical analysis, a limited budget was set for each scenario, and the recovery and damage curve were compared with existing priority strategy. The numerical results showed that the priority strategy of bridge restoration determined through the benefit-cost analysis generated a faster recovery curve and significantly reduced the damage, as compared to existing strategy. Therefore, it is concluded that the proposed methodology enables optimal decision making and also helps risk management that can minimize the economic damage.

Risk and resilience-based restoration optimization of transportation infrastructures under uncertainty

“…Kaviani et al [ 11 ] aimed to improve the resilience of regional road networks by maximizing the total travel time and demand satisfaction. Both Yoon et al [ 17 ] and Gokalp et al [ 18 ] applied the total travel time to restore damaged components when only one infrastructure could be repaired at a time.…”

Post-Disaster Resilience Optimization for Road–Bridge Transportation Systems Considering Economic Loss

“…A structured framework has been established to plan the recovery scheme of a the transportation network after a disaster [15]. Additionally, a robust performance measure was introduced to evaluate the resilience of transportation networks under seismic conditions, which was used to determine optimal post-hazard bridge recovery strategies [16]. An average time delay was proposed to evaluate the performance of the road-bridge transportation system after an earthquake, and an optimization model of post-earthquake recovery scheduling for bridges was constructed to determine the optimal recovery scheme [17].…”