Event Details

Dr Ruiwei Jiang will present a seminar to the Management Science Department

Abstract: Natural disasters such as hurricanes and wildfires can have devastating consequences that affect large populations. Among all relief measures, evacuation is crucial for saving lives and reducing panic as well as asset losses. Existing studies have extensively explored evacuation route planning, which focuses on pre-disaster route recommendations with the assumption that people must comply with those recommendations. In contrast, dynamic evacuation routing, which accounts for the behaviors of distributed evacuation groups and the stochastic unfolding of disasters, has received little attention. This talk proposes an approach that iteratively infers evacuees' compliance in the route recommendation and integrates the inference into a dynamic route recommendation model. In numerical experiments, this approach demonstrates superior effectiveness in reducing evacuation time and road congestion.