Investigation of system-level impacts of electrification on the road freight transport system: a System Dynamics approach
2023 (English)Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]
Purpose
Electrification of road freight transport is a promising solution to achieve transportation climate goals. This study aims to provide a system-level understanding of the impacts of electrification on the road freight transport system and to develop a model that describes the system and enables the analysis of the interrelationships between system variables
Methodology
Using a system dynamics approach, a causal loop diagram (CLD) model is developed. The model structure is based on the three-layer model proposed by Wandel et al. (1992) and developed by Browne et al. (2022). A mixed methods approach is employed, including group model building, an impact analysis workshop, and literature analysis.
Findings
The study presents a conceptual multi-layer model that illustrates the complex causal relationships between variables in different layers of the freight transport system. Moreover, two example CLD models are provided: one exploring the factors that affect the attractiveness of electric trucks and another illustrating the trade-off between battery size and charging infrastructure.
Research limitations
The study's main limitation is the challenge of recognizing all variables and their interconnections in such a complex system. Rather than providing an accurate picture of the system, the study aims to demonstrate the system's complexity and highlight some important dynamics.
Original/value
The study's system dynamics models aim to provide decision-makers with a comprehensive understanding of the system, enabling them to make better-informed decisions that consider the impact of their policies on the system as a whole.
Place, publisher, year, edition, pages
2023.
Keywords [en]
road freight transport system, electrification, transition, system-level effects, system dynamics, and causal loop diagram.
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:kth:diva-339260OAI: oai:DiVA.org:kth-339260DiVA, id: diva2:1809660
Conference
35th NOFOMA annual conference, NOFOMA 2023 – Logistics During Global Crises, Helsinki, Finland, 15-16 June, 2023
Note
QC 20231106
2023-11-052023-11-052023-12-14Bibliographically approved