Abstract
• It proposes an optimization model of post-earthquake recovery scheduling for bridges as key links in rural “road-bridge” transportation network system. • The remaining function of the bridge after the earthquake is quantified based on the seismic fragility function. • The non-equilibrium probability random assignment model is used to simulate the travel behavior of users in recovery after the earthquake. • The resilience metric for the restoration scheduling of damaged bridges is proposed based on the total recovery time and the cumulative benefit rate. Rural traffic systems have a sparse number of roads and bridges. Under the action of an earthquake, the damage to bridges in the “road-bridge” transportation network (r-bTN) system will not only cause the loss of road capacity but also hinder post-earthquake rescues and recovery. To reduce the impact of the r-bTN system on post-disaster recovery activities, this paper proposes an optimization model of an r-bTN system with bridges as the key links under the concept of resilience recovery. In this model, the average time delay was proposed to evaluate performance of the rural r-bTN system after an earthquake. The total recovery time and cumulative benefit rate were proposed to measure the r-bTN system resilience in the recovery process. In addition, the constraints of bridge functionality change with time, and the number of engineering teams are considered. To illustrate the proposed optimization model, a multi-objective non-dominated sorting genetic algorithm is used to solve the restoration schedule optimization problem for a rural r-bTN with 45 nodes, 74 roads, and 15 bridges subjected to seismic events. This model provides decision support for the restoration of the rural r-bTN system shortly after an earthquake.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call