货运配送的次优性

D.E. Pitfield
{"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}
引用次数: 16

摘要

考虑到次最优性的运输问题的修改以前很少和不小心应用。提出了一种通过迭代实现修正的方法,使适当的拟合优度统计量最小化。然后,使用这种方法,将该模型应用于英国的货运流数据。预测的货流矩阵优于运输问题预测,并推导出行为和经济含义,以证明该技术可以产生的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sub-optimality in freight distribution

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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信