Data-driven decision-making model for determining the number of volunteers required in typhoon disasters

作     者：Sheng-Qun Chen Jie Bai 

作者机构：School of Information EngineeringFujian Business UniversityFuzhou 350506China School of computer and informationFujian agriculture and Forestry UniversityFuzhou 350002China 

出 版 物：《Journal of Safety Science and Resilience》 (安全科学与韧性（英文）)

年 卷 期：2023年第4卷第3期

页      面：229-240页

核心收录：

学科分类：0402[教育学-心理学(可授教育学、理学学位）] 0303[法学-社会学] 0710[理学-生物学] 083002[工学-环境工程] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 07[理学] 070601[理学-气象学] 08[工学] 0706[理学-大气科学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：The authors acknowledge financial support from the National Social Science Foundation of China(Grant#:19BGL016) 

主　　题：Data-driven decision-making Optimization Rescue Typhoon 

摘      要：Volunteer teams provide valuable support after large-scale ***,excessive volunteer participation poses challenges for formal ***,an appropriate decision-making method is required to quickly determine the number of volunteers required after a *** study proposes a data-driven decision-making(D^(3)M)method for typhoon disaster volunteerism that can effectively predict the number of volunteers *** data from actual cases were gathered,analyzed,and preprocessed to prepare the *** selection,D^(3)M model training and optimization,and model validation were performed to fine-tune the volunteer participant *** data from an actual typhoon in the Philippines,the rationality and efficacy of the method were verified through a comparative analysis of the experimental *** proposed method learns from disaster-event data to quickly predict the number of volunteers needed,such that it not only reasonably allocates volunteers to assist professional teams in rescue but also avoids secondary problems caused by an overwhelming response.