A freight network planning model in oligopolistic shipping markets
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Hyangsook | - |
dc.contributor.author | Boile, Maria | - |
dc.contributor.author | Theofanis, Sotirios | - |
dc.contributor.author | Choo, Sangho | - |
dc.contributor.author | Lee, Kang-Dae | - |
dc.date.accessioned | 2021-11-11T02:42:57Z | - |
dc.date.available | 2021-11-11T02:42:57Z | - |
dc.date.created | 2021-10-25 | - |
dc.date.issued | 2014-09 | - |
dc.identifier.issn | 1386-7857 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/16613 | - |
dc.description.abstract | The paper presents a multi-level hierarchical approach which models the oligopolistic behavior of carriers in maritime freight transportation networks. With the merger of the carriers' industry and some dominant carriers in today's shipping markets, carrier competition frequently exhibits an oligopolistic nature. This study considers the following three types of carriers; ocean carriers, land carriers, and port terminal operators. The oligopolistic ocean carriers, land carriers, and port terminal operators compete with each other in their pricing and routing decisions. The carriers determine service charges and delivery routes at different parts of the multi-modal freight network, creating hierarchical relationships. When using a game theoretic approach, ocean carriers become the leaders in an oligopoly shipping market. When dealing with individual carrier problems, the Nash equilibrium reveals the optimal decision where each carrier obtains the greatest profit. A three-level model is formulated to capture the interactions among different types of carriers. The validity and capability of the model gets demonstrated through an empirical example. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | SPRINGER | - |
dc.subject | MULTIPLE EQUILIBRIUM BEHAVIORS | - |
dc.subject | TRANSPORTATION NETWORK | - |
dc.subject | STACKELBERG GAMES | - |
dc.subject | ASSIGNMENT MODEL | - |
dc.subject | FLOWS | - |
dc.subject | MULTIPRODUCT | - |
dc.subject | PREDICTION | - |
dc.title | A freight network planning model in oligopolistic shipping markets | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Choo, Sangho | - |
dc.identifier.doi | 10.1007/s10586-013-0314-3 | - |
dc.identifier.scopusid | 2-s2.0-84906786184 | - |
dc.identifier.wosid | 000341081900021 | - |
dc.identifier.bibliographicCitation | CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, v.17, no.3, pp.835 - 847 | - |
dc.relation.isPartOf | CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS | - |
dc.citation.title | CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS | - |
dc.citation.volume | 17 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 835 | - |
dc.citation.endPage | 847 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.subject.keywordPlus | MULTIPLE EQUILIBRIUM BEHAVIORS | - |
dc.subject.keywordPlus | TRANSPORTATION NETWORK | - |
dc.subject.keywordPlus | STACKELBERG GAMES | - |
dc.subject.keywordPlus | ASSIGNMENT MODEL | - |
dc.subject.keywordPlus | FLOWS | - |
dc.subject.keywordPlus | MULTIPRODUCT | - |
dc.subject.keywordPlus | PREDICTION | - |
dc.subject.keywordAuthor | Freight network planning model | - |
dc.subject.keywordAuthor | Carrier interaction | - |
dc.subject.keywordAuthor | Oligopolistic shipping market | - |
dc.subject.keywordAuthor | Equilibrium model | - |
dc.subject.keywordAuthor | Multi-level hierarchical game | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
94, Wausan-ro, Mapo-gu, Seoul, 04066, Korea02-320-1314
COPYRIGHT 2020 HONGIK UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.