Optimization Of Emergency Logistics Network Considering Residents’ Psychology Under Public Health Emergencies

Since the beginning of history,there have been many large-scale public health emergencies around the world,which seriously threaten national economic and social development and people’s life safety.To cope with such emergencies,countries have attached great importance to the improvement of emergency rescue efficiency.Existing studies related to emergency logistics under public health emergencies have focused on the uncertainty of their demands and constructed emergency logistics networks based on the infectious disease change model,but little attention has been paid to the psychology of the residents.Due to the uncertainty of public health emergencies,the residents in the areas affected by the events are highly sensitive psychologically,and the distribution of resources and the variability of service time may cause psychological deviations of the residents,which affect social stability and the effectiveness of emergency relief.Based on this,this paper studies the emergency logistics network planning under public health emergencies,constructs an emergency logistics network optimization model considering residents’ psychology,and integrates the development trend of infectious diseases,emergency logistics network design and people’s psychology in the logistics network.It provides theoretical support and practical methodological reference for emergency logistics network planning under public health emergencies.The main research contents include:(1)Research on the prediction of emergency supplies demand under public health emergencies.Based on the prospect theory to construct a psychological cost model,set the psychological impact additional infection rate introduced into the SEIR infectious disease model,each cycle through the consideration of the population psychological SEIR infectious disease model to predict the number of infections,and define the unit of emergency supplies demand to build a dynamic emergency demand forecasting model to predict the total demand in the region.(2)Research on the emergency logistics planning problem under public health emergencies.We design the emergency logistics network under the premise that the quantity of materials in each cycle is known,construct a site selection path optimization model with the objective of minimizing the total logistics cost and the psychological cost of residents,and design a weighted genetic algorithm to solve this model.The model not only considers the economy of emergency relief but also the psychological cost of residents,which is closer to the real situation.Finally,a case study was conducted to verify the validity of the proposed model and algorithm,which provides theoretical basis and decision support for emergency logistics network planning under public health emergencies.Aiming at the problem of emergency logistics network planning under public health emergencies,this thesis puts forward an emergency logistics network optimization model considering residents’ psychology.The integrated research on residents’ psychology,infectious disease change mode and emergency logistics network planning has certain theoretical and practical significance in optimizing the selection of emergency facilities and transportation routes.