Emergency Shelter Location Problem Considering Multiple Evacuation Modes

Emergency shelter is a facility providing various services for evacuees,and it is very important for the evacuees.The existing research on emergency shelter location mostly focuses on the once evacuation action in the disaster area.On the other hand,the stochastic optimization model based on scenario usually considers the worst case,but the probability of the worst case is very low.The two-stage emergency shelter location model considering secondary evacuation is proposed by the author.The model considers a variety of evacuated groups and evacuation modes,and uses chance constraints to measure the cost and service level.The main research achievements of the author include the following aspects:1)Based on the real disaster situation,the author analyzes the timeline and possible key costs in the emergency shelter location problem,and gives the specific description of the emergency shelter location problem considering the secondary evacuation.2)The two-stage emergency shelter location stochastic model with chance constraints is constructed by the author.In the first stage,considering the distance constraints,the evacuees go to the shelter by themselves.In the second stage,the rescue organization will evacuate the evacuees from the disaster area in an orderly manner within the specified time.3)In order to contrast the function of the stochastic models,several numerical experiments are designed by the author.Because it is very difficult to solve the two-stage stochastic model with chance constraints directly,the author uses the sample average approximation(SAA)algorithm to transform the chance constraints into deterministic constraints.4)The author collected the data of a typhoon prone area,including population data,etc.And the influence of service level on cost and network traffic flow is analyzed by the author.Furthermore,it discusses how to reduce the total cost by improving the evacuation efficiency.