Risk-averse optimization of disaster relief facility location and vehicle routing under stochastic demand

•Develop a bi-objective model for the disaster relief location-routing problem (LRP) with stochastic demand.•Propose two risk-averse measures based on the conditional value at risk with regret (CVaR-R).•Propose to adopt the Nash bargaining solution to capture the decision maker’s interests between the two risk-averse measures.•Devise a hybrid metaheuristic algorithm to solve the model.•Demonstrate the impact of confidence level and distance parameter on the solution.