Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Green intermodal freight transportation: bi-objective modeling and analysis

Demir, Emrah ORCID: https://orcid.org/0000-0002-4726-2556, Hrusovsky, Martin, Jammernegg, Werner and Van Woensel, Tom 2019. Green intermodal freight transportation: bi-objective modeling and analysis. International Journal of Production Research 57 (19) , pp. 6162-6180. 10.1080/00207543.2019.1620363

[thumbnail of Demir et al. 2019.pdf]
Preview
PDF - Accepted Post-Print Version
Download (1MB) | Preview

Abstract

Efficient planning of freight transportation requires a comprehensive look at wide range of factors in the operation and management of any transportation mode to achieve safe, fast, and environmentally suitable movement of goods. In this regard, a combination of transportation modes offers flexible and environmentally friendly alternatives to transport high volumes of goods over long distances. In order to reflect the advantages of each transportation mode, it is the challenge to develop models and algorithms in Transport Management System software packages. This paper discusses the principles of green logistics required in designing such models and algorithms which truly represent multiple modes and their characteristics. Thus, this research provides a unique practical contribution to green logistics literature by advancing our understanding of the multi-objective planning in intermodal freight transportation. Analysis based on a case study from hinterland intermodal transportation in Europe is therefore intended to make contributions to the literature about the potential benefits from combining economic and environmental criteria in transportation planning. An insight derived from the experiments conducted shows that there is no need to greatly compromise on transportation costs in order to achieve a significant reduction in carbon-related emissions.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Business (Including Economics)
Publisher: Taylor & Francis
ISSN: 0020-7543
Date of First Compliant Deposit: 21 February 2019
Date of Acceptance: 21 February 2019
Last Modified: 06 Nov 2023 20:49
URI: https://orca.cardiff.ac.uk/id/eprint/119757

Citation Data

Cited 41 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics