Freight Transport Decarbonization

A Systematic Literature Review of System Dynamics Models

Journal Article (2022)
Author(s)

V. Ghisolfi (Universidade Federal do Rio de Janeiro)

Lóránt Tavasszy (TU Delft - Transport and Planning, TU Delft - Transport and Logistics)

Gonçalo Homem Correia (TU Delft - Transport and Planning)

Gisele de Lorena Diniz Chaves (Universidade Federal do Espírito Santo)

Glaydston Mattos Ribeiro (Universidade Federal do Rio de Janeiro)

Transport and Planning
Copyright
© 2022 V. Ghisolfi, Lorant Tavasszy, Gonçalo Correia , Gisele de Lorena Diniz Chaves, Glaydston Mattos Ribeiro
DOI related publication
https://doi.org/10.3390/su14063625
More Info
expand_more
Publication Year
2022
Language
English
Copyright
© 2022 V. Ghisolfi, Lorant Tavasszy, Gonçalo Correia , Gisele de Lorena Diniz Chaves, Glaydston Mattos Ribeiro
Transport and Planning
Issue number
6
Volume number
14
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Freight transport decarbonization is currently an urgent challenge. Decarbonization strategies have a specific time to take effect, and it is essential to consider their time dependence. The system dynamics approach is well suited to represent feedback, lagged responses, and the time dependence of decarbonization strategies. We carried out a systematic literature review of system dynamics models in relation to strategies for freight decarbonization to identify the treatment of relevant dynamics of the system within the models. The 50 studies that fulfilled our search criteria were categorized by decarbonization strategies, the external factors needed to support them, and simulated policy instruments. The results show that no model presented a broad view of the system, addressing a limited combination of strategies. Most importantly, system dynamics models do not clarify how time-dependent behavior is determined, which indicates a significant research gap that can be critical for understanding the policy’s urgency and impacts.