{"title":"运输风险管理决策分析","authors":"J. A. Cooper","doi":"10.1017/S1357530902000467","DOIUrl":null,"url":null,"abstract":"Modern transport systems are complex, therefore requiring highly effective management decision tools. These tools would aid in ranking alternatives, allocating resources, and certifying critical transportation operations. Existing methods may not accommodate the dynamics of changing environments and personnel threats. They also may not handle hard-to-quantify, disparate data, and may be unable to realistically estimate uncertainty. In this paper, the authors discuss a coordinated set of ongoing model development efforts to overcome such difficulties.","PeriodicalId":212131,"journal":{"name":"Risk Decision and Policy","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Decision analysis for transportation risk management\",\"authors\":\"J. A. Cooper\",\"doi\":\"10.1017/S1357530902000467\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Modern transport systems are complex, therefore requiring highly effective management decision tools. These tools would aid in ranking alternatives, allocating resources, and certifying critical transportation operations. Existing methods may not accommodate the dynamics of changing environments and personnel threats. They also may not handle hard-to-quantify, disparate data, and may be unable to realistically estimate uncertainty. In this paper, the authors discuss a coordinated set of ongoing model development efforts to overcome such difficulties.\",\"PeriodicalId\":212131,\"journal\":{\"name\":\"Risk Decision and Policy\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Risk Decision and Policy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1017/S1357530902000467\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Risk Decision and Policy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1017/S1357530902000467","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Decision analysis for transportation risk management
Modern transport systems are complex, therefore requiring highly effective management decision tools. These tools would aid in ranking alternatives, allocating resources, and certifying critical transportation operations. Existing methods may not accommodate the dynamics of changing environments and personnel threats. They also may not handle hard-to-quantify, disparate data, and may be unable to realistically estimate uncertainty. In this paper, the authors discuss a coordinated set of ongoing model development efforts to overcome such difficulties.