{"title":"货运配送的次优性","authors":"D.E. Pitfield","doi":"10.1016/0041-1647(78)90028-X","DOIUrl":null,"url":null,"abstract":"<div><p>A modification to the transportation problem that takes account of sub-optimality has previously been rarely and incautiously applied. A method of implementing the modification by iteration is outlined that minimizes an appropriate goodness-of-fit statistic. The model is then applied, using this method, to freight flow data in Britain. A freight flow matrix is predicted that is superior to a transportation problem prediction and behavioural and economic implications are derived to demonstrate the insights that the technique can yield.</p></div>","PeriodicalId":101259,"journal":{"name":"Transportation Research","volume":"12 6","pages":"Pages 403-409"},"PeriodicalIF":0.0000,"publicationDate":"1978-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0041-1647(78)90028-X","citationCount":"16","resultStr":"{\"title\":\"Sub-optimality in freight distribution\",\"authors\":\"D.E. Pitfield\",\"doi\":\"10.1016/0041-1647(78)90028-X\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>A modification to the transportation problem that takes account of sub-optimality has previously been rarely and incautiously applied. A method of implementing the modification by iteration is outlined that minimizes an appropriate goodness-of-fit statistic. The model is then applied, using this method, to freight flow data in Britain. A freight flow matrix is predicted that is superior to a transportation problem prediction and behavioural and economic implications are derived to demonstrate the insights that the technique can yield.</p></div>\",\"PeriodicalId\":101259,\"journal\":{\"name\":\"Transportation Research\",\"volume\":\"12 6\",\"pages\":\"Pages 403-409\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1978-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/0041-1647(78)90028-X\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transportation Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/004116477890028X\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/004116477890028X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A modification to the transportation problem that takes account of sub-optimality has previously been rarely and incautiously applied. A method of implementing the modification by iteration is outlined that minimizes an appropriate goodness-of-fit statistic. The model is then applied, using this method, to freight flow data in Britain. A freight flow matrix is predicted that is superior to a transportation problem prediction and behavioural and economic implications are derived to demonstrate the insights that the technique can yield.