{"title":"是否应该(允许)更换 Cippolini?","authors":"Marcel Ausloos","doi":"10.1007/s10479-024-06206-y","DOIUrl":null,"url":null,"abstract":"<p>One examines and discusses proposals on whether riders could be replaced in a team during multi-stage races, and how much a team final time at the end of the race would change (be \"adjusted\") if only the riders having completed the race are taken into account for ranking teams. A few results of the two main multi-stage races, the men Tour de France and the Giro d’Italia, are used as case studies. The impact of disqualification later on, due to doping, much after the end of such a race, is also examined in the case of two Tour de France. The statistical discussion is based on the Kendall-<span>\\(\\tau \\)</span> coefficients for comparing team ranks at the end of these multi-stages races cases. One observes that there are significant differences in the results of the discussed measures. It is shown that there is much variety in results significance, whence demonstrating many interests of the \"adjusted indicators\". Moreover, it is argued that the \"adjusted\" rank indicator would promote more competitive and more attractive daily stages and lead to more valuable race management.</p>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"4 1","pages":""},"PeriodicalIF":4.4000,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Should one (be allowed to) replace the Cippolini’s?\",\"authors\":\"Marcel Ausloos\",\"doi\":\"10.1007/s10479-024-06206-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>One examines and discusses proposals on whether riders could be replaced in a team during multi-stage races, and how much a team final time at the end of the race would change (be \\\"adjusted\\\") if only the riders having completed the race are taken into account for ranking teams. A few results of the two main multi-stage races, the men Tour de France and the Giro d’Italia, are used as case studies. The impact of disqualification later on, due to doping, much after the end of such a race, is also examined in the case of two Tour de France. The statistical discussion is based on the Kendall-<span>\\\\(\\\\tau \\\\)</span> coefficients for comparing team ranks at the end of these multi-stages races cases. One observes that there are significant differences in the results of the discussed measures. It is shown that there is much variety in results significance, whence demonstrating many interests of the \\\"adjusted indicators\\\". Moreover, it is argued that the \\\"adjusted\\\" rank indicator would promote more competitive and more attractive daily stages and lead to more valuable race management.</p>\",\"PeriodicalId\":8215,\"journal\":{\"name\":\"Annals of Operations Research\",\"volume\":\"4 1\",\"pages\":\"\"},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2024-08-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals of Operations Research\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1007/s10479-024-06206-y\",\"RegionNum\":3,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"OPERATIONS RESEARCH & MANAGEMENT SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Operations Research","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1007/s10479-024-06206-y","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"OPERATIONS RESEARCH & MANAGEMENT SCIENCE","Score":null,"Total":0}
Should one (be allowed to) replace the Cippolini’s?
One examines and discusses proposals on whether riders could be replaced in a team during multi-stage races, and how much a team final time at the end of the race would change (be "adjusted") if only the riders having completed the race are taken into account for ranking teams. A few results of the two main multi-stage races, the men Tour de France and the Giro d’Italia, are used as case studies. The impact of disqualification later on, due to doping, much after the end of such a race, is also examined in the case of two Tour de France. The statistical discussion is based on the Kendall-\(\tau \) coefficients for comparing team ranks at the end of these multi-stages races cases. One observes that there are significant differences in the results of the discussed measures. It is shown that there is much variety in results significance, whence demonstrating many interests of the "adjusted indicators". Moreover, it is argued that the "adjusted" rank indicator would promote more competitive and more attractive daily stages and lead to more valuable race management.
期刊介绍:
The Annals of Operations Research publishes peer-reviewed original articles dealing with key aspects of operations research, including theory, practice, and computation. The journal publishes full-length research articles, short notes, expositions and surveys, reports on computational studies, and case studies that present new and innovative practical applications.
In addition to regular issues, the journal publishes periodic special volumes that focus on defined fields of operations research, ranging from the highly theoretical to the algorithmic and the applied. These volumes have one or more Guest Editors who are responsible for collecting the papers and overseeing the refereeing process.