{"title":"基于DPSIR和模糊物元模型的应急物流系统脆弱性评价研究","authors":"Shuai Hao, Hongmei Shan, Jiapan Wang","doi":"10.1109/icmss55574.2022.00030","DOIUrl":null,"url":null,"abstract":"With the frequent occurrence of global emergencies, emergency management under disaster is facing great challenges. As an important rescue support measurement, the emergency logistics system (ELS) faces vulnerability problems due to the interference of external factors and instability of the internal factors. In order to solve the problem of vulnerability of ELS, this paper builds a comprehensive vulnerability evaluation index system of emergency logistics system on the basis of DPSIR model (Driving force, Pressure, State, Impact and Response). While this paper proposes a vulnerability evaluation model of ELS based on Fuzzy Matter-Element Method, and conducts a case study to verify the feasibility with the data of Shaanxi Province from 2010 to 2019. The empirical results show that the vulnerability of the emergency logistics system in Shaanxi Province is decreasing year by year, which indicates that the responsive capability of the ELS in Shaanxi Province is gradually improving. The study provides a new insight to estimate the vulnerability of emergency logistics and increase the responsive capacity of the system. Keywords-vulnerability; emergency logistics system; DPSIR model; fuzzy matter-element model","PeriodicalId":338995,"journal":{"name":"2022 International Conference on Management Engineering, Software Engineering and Service Sciences (ICMSS)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study on Vulnerability Evaluation of Emergency Logistics System Based on DPSIR and Fuzzy Matter-Element Model\",\"authors\":\"Shuai Hao, Hongmei Shan, Jiapan Wang\",\"doi\":\"10.1109/icmss55574.2022.00030\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the frequent occurrence of global emergencies, emergency management under disaster is facing great challenges. As an important rescue support measurement, the emergency logistics system (ELS) faces vulnerability problems due to the interference of external factors and instability of the internal factors. In order to solve the problem of vulnerability of ELS, this paper builds a comprehensive vulnerability evaluation index system of emergency logistics system on the basis of DPSIR model (Driving force, Pressure, State, Impact and Response). While this paper proposes a vulnerability evaluation model of ELS based on Fuzzy Matter-Element Method, and conducts a case study to verify the feasibility with the data of Shaanxi Province from 2010 to 2019. The empirical results show that the vulnerability of the emergency logistics system in Shaanxi Province is decreasing year by year, which indicates that the responsive capability of the ELS in Shaanxi Province is gradually improving. The study provides a new insight to estimate the vulnerability of emergency logistics and increase the responsive capacity of the system. Keywords-vulnerability; emergency logistics system; DPSIR model; fuzzy matter-element model\",\"PeriodicalId\":338995,\"journal\":{\"name\":\"2022 International Conference on Management Engineering, Software Engineering and Service Sciences (ICMSS)\",\"volume\":\"117 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Management Engineering, Software Engineering and Service Sciences (ICMSS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/icmss55574.2022.00030\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Management Engineering, Software Engineering and Service Sciences (ICMSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icmss55574.2022.00030","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study on Vulnerability Evaluation of Emergency Logistics System Based on DPSIR and Fuzzy Matter-Element Model
With the frequent occurrence of global emergencies, emergency management under disaster is facing great challenges. As an important rescue support measurement, the emergency logistics system (ELS) faces vulnerability problems due to the interference of external factors and instability of the internal factors. In order to solve the problem of vulnerability of ELS, this paper builds a comprehensive vulnerability evaluation index system of emergency logistics system on the basis of DPSIR model (Driving force, Pressure, State, Impact and Response). While this paper proposes a vulnerability evaluation model of ELS based on Fuzzy Matter-Element Method, and conducts a case study to verify the feasibility with the data of Shaanxi Province from 2010 to 2019. The empirical results show that the vulnerability of the emergency logistics system in Shaanxi Province is decreasing year by year, which indicates that the responsive capability of the ELS in Shaanxi Province is gradually improving. The study provides a new insight to estimate the vulnerability of emergency logistics and increase the responsive capacity of the system. Keywords-vulnerability; emergency logistics system; DPSIR model; fuzzy matter-element model