Emergency Resource Locating Of Multi-Supply Subjects In Complex Disaster Scenarios Based On Multiple Types Of Materials

The layout of emergency rescue resources,especially the joint reserve in complex disaster scenarios,is crucial for the service quality,reliability,and efficiency of emergency rescue activities.However,the interaction and material classification between different disasters are often lacking consideration,which is crucial for emergency rescue.This article provides a novel and practical framework for reliable emergency rescue strategies in complex disaster scenarios.In order to address the problem of selecting different rescue multi-objective materials in complex disaster scenarios,this article summarizes and solves the problem of selecting emergency materials for pre disaster reserve materials from the following three aspects:This article first uses scenario based methods to represent complex disaster situations,including earthquakes,floods,mudslides,and their interactions.It introduces the connotation,characteristics,coupling,and evolution laws of complex disasters,and then provides an overview of the concept and characteristics of multiple emergency rescue entities.Secondly,in terms of optimizing the layout of emergency resources,this article considers increasing the reserve of existing rescue points and jointly providing emergency rescue materials with new government suppliers and agreement suppliers.In order to determine the selection of joint suppliers and the corresponding optimal quantity of materials in complex disaster scenarios,this paper proposes a multi-objective model that integrates cost,fairness,emergency efficiency,and demand uncertainty into the emergency facility location problem.Finally,NSGA-Ⅱ-XGB algorithm is used to model extreme gradient lifting(XGBOOST)based on Ensemble learning,and an example of NSGA-Ⅱ-XGB algorithm in disaster prone provinces is proposed to verify the feasibility and effectiveness of the model.The results indicate that the method proposed in this article can greatly reduce emergency costs,rescue time,and the differences between demand and supply,while maximizing the coverage of rescue resources.More importantly,it can optimize resource scale by optimizing the location and quantity of materials provided by joint suppliers to simultaneously respond to different types of disasters.This study takes a promising step towards the configuration decision-making of emergency rescue work.The main innovation points of this article are four aspects: firstly,the coupling interaction of complex disaster scenarios is considered.Previous studies have only considered the problem of site selection for single or secondary disasters.This article identifies the impact of multiple complex disaster types on emergency rescue site selection,improving the utilization rate of rescue libraries.Secondly,on the basis of existing rescue response points,this article proposes a collaborative response of multiple rescue entities,taking into account the transformation of existing rescue response points and material supply,thereby reducing rescue costs.Based on this,this article considers the conversion and substitution of general and specific materials in complex disaster scenarios for multiple materials,and predicts material demand to improve the efficiency of material utilization.Finally,in large-scale examples,the distribution of Pareto solutions and the preference of the target are given,and a series of options for decision are proposed.