{"title":"预测工具集成模型:在公路货物运输中的应用研究","authors":"Henrique Dias Blois , Ricardo Silveira Martins","doi":"10.1016/j.rausp.2016.09.005","DOIUrl":null,"url":null,"abstract":"<div><p>This study has developed a scenery analysis model which has integrated decision-making tools on investments: prospective scenarios (Grumbach Method) and systems dynamics (hard modeling), with the innovated multivariate analysis of experts. It was designed through analysis and simulation scenarios and showed which are the most striking events in the study object as well as highlighted the actions could redirect the future of the analyzed system. Moreover, predictions are likely to be developed through the generated scenarios. The model has been validated empirically with road freight transport data from state of Rio Grande do Sul, Brazil. The results showed that the model contributes to the analysis of investment because it identifies probabilities of events that impact on decision making, and identifies priorities for action, reducing uncertainties in the future. Moreover, it allows an interdisciplinary discussion that correlates different areas of knowledge, fundamental when you wish more consistency in creating scenarios.</p></div>","PeriodicalId":30471,"journal":{"name":"RAUSP Revista de Administracao da Universidade de Sao Paulo","volume":"52 1","pages":"Pages 3-14"},"PeriodicalIF":0.0000,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.rausp.2016.09.005","citationCount":"1","resultStr":"{\"title\":\"A model of integration among prediction tools: applied study to road freight transportation\",\"authors\":\"Henrique Dias Blois , Ricardo Silveira Martins\",\"doi\":\"10.1016/j.rausp.2016.09.005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This study has developed a scenery analysis model which has integrated decision-making tools on investments: prospective scenarios (Grumbach Method) and systems dynamics (hard modeling), with the innovated multivariate analysis of experts. It was designed through analysis and simulation scenarios and showed which are the most striking events in the study object as well as highlighted the actions could redirect the future of the analyzed system. Moreover, predictions are likely to be developed through the generated scenarios. The model has been validated empirically with road freight transport data from state of Rio Grande do Sul, Brazil. The results showed that the model contributes to the analysis of investment because it identifies probabilities of events that impact on decision making, and identifies priorities for action, reducing uncertainties in the future. Moreover, it allows an interdisciplinary discussion that correlates different areas of knowledge, fundamental when you wish more consistency in creating scenarios.</p></div>\",\"PeriodicalId\":30471,\"journal\":{\"name\":\"RAUSP Revista de Administracao da Universidade de Sao Paulo\",\"volume\":\"52 1\",\"pages\":\"Pages 3-14\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.rausp.2016.09.005\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"RAUSP Revista de Administracao da Universidade de Sao Paulo\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0080210716307324\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"RAUSP Revista de Administracao da Universidade de Sao Paulo","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0080210716307324","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A model of integration among prediction tools: applied study to road freight transportation
This study has developed a scenery analysis model which has integrated decision-making tools on investments: prospective scenarios (Grumbach Method) and systems dynamics (hard modeling), with the innovated multivariate analysis of experts. It was designed through analysis and simulation scenarios and showed which are the most striking events in the study object as well as highlighted the actions could redirect the future of the analyzed system. Moreover, predictions are likely to be developed through the generated scenarios. The model has been validated empirically with road freight transport data from state of Rio Grande do Sul, Brazil. The results showed that the model contributes to the analysis of investment because it identifies probabilities of events that impact on decision making, and identifies priorities for action, reducing uncertainties in the future. Moreover, it allows an interdisciplinary discussion that correlates different areas of knowledge, fundamental when you wish more consistency in creating scenarios.