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Optimizing the Location of Intermodal Freight Hubs: An Overview of Agent Based Modelling Approach

Sirikijpanichkul, Ackchai, van Dam, Koen H., Ferreira, Luis, & Lukszo, Zofia (2007) Optimizing the Location of Intermodal Freight Hubs: An Overview of Agent Based Modelling Approach. Journal of Transportation Systems Engineering and Information Technology, 7(4), pp. 71-81.

Abstract

This paper aims at developing an integral model for the evaluation of road-rail intermodal freight hub location decisions. The model comprises four dominant agents namely, hub owners or operators, transport network infrastructure providers, hub users and communities. An agent based modelling approach is introduced to allow such negotiation to happen in order to achieve a global objective. The paper outlines the methodology to be used. It also presents an initial location selection process, a testing with individual objective functions, and a design for an agent based model by using a case study of intermodal freight hub location decisions in South East Queensland of Australia.

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ID Code: 9396
Item Type: Journal Article
Additional URLs:
Keywords: intermodal freight, hub location, agent based modelling, multi, objective evaluation
ISSN: 1570-6672
Subjects: Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > APPLIED MATHEMATICS (010200) > Operations Research (010206)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500) > Transport Engineering (090507)
Australian and New Zealand Standard Research Classification > PSYCHOLOGY AND COGNITIVE SCIENCES (170000) > COGNITIVE SCIENCE (170200) > Cognitive Science not elsewhere classified (170299)
Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > NUMERICAL AND COMPUTATIONAL MATHEMATICS (010300) > Optimisation (010303)
Australian and New Zealand Standard Research Classification > COMMERCE MANAGEMENT TOURISM AND SERVICES (150000) > TRANSPORTATION AND FREIGHT SERVICES (150700)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Artificial Intelligence and Image Processing not elsewhere classified (080199)
Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Simulation and Modelling (080110)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Copyright Owner: Copyright 2007 Elsevier
Copyright Statement: Reproduced in accordance with the copyright policy of the publisher.
Deposited On: 10 Sep 2007
Last Modified: 29 Feb 2012 23:35

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