| As one of the most important transportation infrastructures in our country,a crucial role is played by the road transportation network in promoting national economic and life development.However,in recent years,a lot of interruption risks have been brought to the normal operation of road transportation networks by frequent major emergencies.Therefore,it is necessary to improve the resistance of road transportation networks in major emergencies and optimize the disaster-resistant decision-making of the road network.The optimization of disaster-resistant decision-making for road transportation networks under major emergencies is a complex system engineering.Its decision-making process needs to consider the coordination and cooperation of multiple stages,the diversification of damaged road sections,and the coordinated cooperation of different types of recovery resources.However,the impact of diversified road section recovery differences on the disaster-resistant capacity of the road network has been ignored by current research,and the characteristics and cooperative relationships among different types of recovery resources have not been thoroughly modeled and analyzed.This may lead to suboptimal disaster-resistant decision-making for the road network.Therefore,a road network recovery decision-making optimization method that considers the difference in road section recovery and a multi-phase disaster-resistant decisionmaking optimization method for road networks with multiple types of resources based on basic theories such as selection-scheduling optimization problems,minimum-cost flow problems,and traffic flow allocation problems are proposed in this paper.The main research contents are as follows:(1)A road network recovery decision-making optimization method considering road section recovery differences is proposed in this paper.The evaluation function of network connectivity based on the impedance tolerance of road sections is constructed,and the resilience indicators of weighted recovery speed and network performance are established as optimization objectives to formulate a double-layer optimization model for road network recovery decisionmaking considering road section recovery differences.The model not only determines the selection of road sections to be recovered and their recovery timing,but also optimizes the degree and speed of recovery for damaged road sections.Finally,the optimization solution of the double-layer model is obtained through the integration of genetic algorithm and FrankWolfe algorithm.(2)A multi-phase disaster-resistant decision-making optimization method for road networks with multiple types of resources is proposed.In this method,a three-level optimization model for multi-phase disaster-resistant decision-making in road networks with multiple types of resources is established by using the optimization objectives of comprehensive recovery logistics resource transportation costs,unsatisfied travel demand penalty costs,and user travel impedance increases penalty costs.This model studies the comprehensive optimization problem of pre-disaster location selection and post-disaster allocation path of recovery logistics resources and recovery workgroups,as well as road network recovery scheduling under multiple types of resources.Based on the concept of "bottleneck effect," the mutual cooperation relationship among different types of recovery resources is quantitatively modeled.Finally,a combination of bi-level genetic algorithm and Frank-Wolfe algorithm is used to obtain the optimization solution of the three-level model.(3)Based on the regional highway network in Guizhou Province as a case study,the rationality and effectiveness of the above model and algorithm are verified.The research results show that considering the difference in road section recovery can effectively improve the road network recovery effect in post-disaster road network recovery decision-making.At the same time,considering the difference in road section recovery speed can effectively improve the marginal benefit of increasing the resilience of the road network by the recovery workgroup.In addition,considering the difference in road section recovery degree can help to better balance the road network performance resilience and recovery speed resilience.Moreover,the smaller the road section impedance tolerance coefficient,the more the weighted factor tends to the road network performance resilience,and the greater the improvement effect of considering the difference in road section recovery on the road network recovery effect.Comprehensive consideration of pre-disaster location selection and post-disaster recovery scheduling of recovery logistics resources and recovery workgroups can effectively reduce the cost of road network recovery.During the recovery process,it is necessary to ensure that the number of recovery logistics resources and recovery workgroups are matched with each other.Meanwhile,ignoring the mutual cooperation relationship among different types of recovery resources may lead to an overestimation of the impact of increasing the number of recovery workgroups on the road network recovery effect. |
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