The University of Southampton
University of Southampton Institutional Repository

Sustainability SI: multimode multicommodity network design model for intermodal freight transportation with transfer and emission costs

Sustainability SI: multimode multicommodity network design model for intermodal freight transportation with transfer and emission costs
Sustainability SI: multimode multicommodity network design model for intermodal freight transportation with transfer and emission costs
Intermodal freight transportation is concerned with the shipment of commodities from their origin to destination using combinations of transport modes. Traditional logistics models have concentrated on minimizing transportation costs by appropriately determining the service network and the transportation routing. This paper considers an intermodal transportation problem with an explicit consideration of greenhouse gas emissions and intermodal transfers. A model is described which is in the form of a non-linear integer programming formulation, which is then linearized. A hypothetical but realistic case study of the UK including eleven locations forms the test instances for our investigation, where uni-modal with multi-modal transportation options are compared using a range of fixed costs.
1566-113X
303-329
Qu, Yi
9a8897ba-7fd5-4d64-9ff1-9fa7e2a452a4
Bektas, Tolga
0db10084-e51c-41e5-a3c6-417e0d08dac9
Bennell, Julia May
38d924bc-c870-4641-9448-1ac8dd663a30
Qu, Yi
9a8897ba-7fd5-4d64-9ff1-9fa7e2a452a4
Bektas, Tolga
0db10084-e51c-41e5-a3c6-417e0d08dac9
Bennell, Julia May
38d924bc-c870-4641-9448-1ac8dd663a30

Qu, Yi, Bektas, Tolga and Bennell, Julia May (2016) Sustainability SI: multimode multicommodity network design model for intermodal freight transportation with transfer and emission costs. Networks and Spatial Economics, 16 (1), 303-329. (doi:10.1007/s11067-014-9227-9).

Record type: Article

Abstract

Intermodal freight transportation is concerned with the shipment of commodities from their origin to destination using combinations of transport modes. Traditional logistics models have concentrated on minimizing transportation costs by appropriately determining the service network and the transportation routing. This paper considers an intermodal transportation problem with an explicit consideration of greenhouse gas emissions and intermodal transfers. A model is described which is in the form of a non-linear integer programming formulation, which is then linearized. A hypothetical but realistic case study of the UK including eleven locations forms the test instances for our investigation, where uni-modal with multi-modal transportation options are compared using a range of fixed costs.

Text
NetSpaEco_R2.pdf - Accepted Manuscript
Download (459kB)

More information

Accepted/In Press date: January 2014
e-pub ahead of print date: 18 April 2014
Published date: March 2016
Additional Information: intermodal transportation, service network design, greenhouse gas emission, intermodal transfer cost
Organisations: Centre of Excellence in Decision, Analytics & Risk Research

Identifiers

Local EPrints ID: 361472
URI: http://eprints.soton.ac.uk/id/eprint/361472
ISSN: 1566-113X
PURE UUID: 842d2818-5c4d-405b-be5b-a23ce02bf3d4
ORCID for Tolga Bektas: ORCID iD orcid.org/0000-0003-0634-144X

Catalogue record

Date deposited: 23 Jan 2014 14:18
Last modified: 14 Mar 2024 15:51

Export record

Altmetrics

Contributors

Author: Yi Qu
Author: Tolga Bektas ORCID iD
Author: Julia May Bennell

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×