Investigation into optimal emergency material scheduling in response to evolving negative public opinion
After emergencies,shortages and unequal distribution of emergency supplies can induce psychological anxiety among victims,leading to the amplification of negative emotions,which in turn can escalate into negative public opinion.This phenomenon inevitably impacts the effectiveness of emergency rescue efforts.The article initiates by constructing an emergency material scheduling model that prioritizes mitigating negative public opinion while balancing fairness and efficiency considerations.Secondly,three scheduling strategies are proposed:relative importance priority,shortest path priority,and proportional allocation.Then,both a multi-objective improved algorithm and a multi-objective traditional algorithm are designed to address the model.Finally,a case analysis is conducted using the epidemic situation in Shanghai in 2022 as a reference point.After comparing the algorithms,the best one is selected,and different strategies are explored to assess their impact on the effectiveness of emergency rescue efforts.The findings indicate:(1)In contrast to the emergency material scheduling model that overlooks the evolving public sentiment,the model that incorporates public opinion evolution ensures a more equitable distribution of emergency resources among disaster-affected regions.As a result,the material satisfaction rate in each area exceeds 75％,significantly mitigating negative emotions associated with resource shortages.(2)The traditional multi-objective algorithm boasts a brief solution time,yet it exhibits a lower material satisfaction rate.The multi-objective improved algorithm,although requiring a longer processing time,achieves a material satisfaction rate exceeding 70％.Among them,the Multi-Objective Particle Swarm Optimization(MOPSO)algorithm in the multi-objective improved algorithm exhibits the best balance between solution time and material satisfaction rate.(3)The"relative importance priority strategy"demonstrates superior effectiveness in rescue operations,resulting in a material satisfaction rate of over 90％in each region.The"proportional allocation strategy"proves effective in mitigating the impact of public opinion during the initial stages of rescue operations.
public safetypublic opinion evolutionscheduling strategyoptimistic algorithmLangevin equation
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