Article    Peer-Reviewed

Assessing the Value of Information Technology for the Decarbonization of Freight Transport

Athanasios G. Giannopoulos 1 and Tatiana P. Moschovou 2,*
TREDIT SA and Hellenic Institute of Transport, 54006 Thessaloniki, Greece
Department of Transportation Planning and Engineering, National Technical University of Athens, 15773 Athens, Greece
For correspondence.
Highlights of Sustainability, 2024, 3(1), 16–32.
Received: 18 September 2023    Accepted: 28 December 2023    Published: 5 January 2024
This article is part of the Special Issue Green Economic Growth and Energy Consumption.
In its first part, the paper gives a summary of the levels of emissions resulting from each mode of transport by use of statistics at the European and global levels. It also summarizes the main measures and policies that have been put forward for the reduction of freight transport greenhouse gas (GHG) emissions. To facilitate the subsequent analyses, these measures and policies are classified into four categories, i.e., affecting the “demand” for freight transport services, shifting freight to less or no carbon-intensive modes, improving the energy efficiency of existing freight vehicles, and transitioning to “clean” fuels including electricity and hydrogen. For each of these categories, their current or potential use of information technology (IT) applications is presented, and key examples of such applications are mentioned. In the final part, a multicriteria analysis is performed with the help of two expert panels which are asked to assess, on a 5-level Likert-type scale, the extent of IT use in each of the four categories. The results show an important or very important contribution of IT in all categories except “improving the energy efficiency of current vehicles”. The highest contribution (with scores higher than 4) appears to be in the category “shifting freight to less carbon-intensive modes”.
Figure in this Article
Copyright © 2024 Giannopoulos and Moschovou. This article is distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use and distribution provided that the original work is properly cited.
This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.
Cite this Article
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