Two-Stage Stochastic Programming Model for Improving Transportation Network Resilience of Relief Supplies in Sequential Hazards Scenario

Cascading failure of road transport networks caused by complex sequential natural hazards adversely affects the use pre-positioning relief supplies. Therefore, it is vital to improve transportation network resilience supplies using an optimization model. The purpose this paper pre-position and distribute in uncertain scenarios hazards. A two-stage stochastic programming model maximize total proposed provide optimal plan against impact combined Jiuzhaigou 7.0 magnitude earthquake its associated landslide a prototype disaster scenario for implementation method paper. solved neighborhood search-based genetic algorithm (NS-based GA), which has both global search capability local large-scale algorithm, can solution finding capability. case study focusing on distribution hazard conducted illustrate validity