Modeling and Analyzing Interactions Between Stakeholders for Train Decarbonization Decisions at a Regional Scale
DS 134: Proceedings of the 26th International DSM Conference (DSM 2024), Stuttgart, Germany
Year: 2024
Editor: Harold (Mike) Stowe; Christopher Langner; Matthias Kreimeyer; Tyson R. Browning; Steven D. Eppinger; Ali A. Yassine
Author: Benoît Volant; Franck Marle; Yann Leroy; Jeanne-Marie Dalbavie
Series: DSM
Institution: Laboratoire Genie Industriel, CentraleSupelec, Universite Paris-Saclay; Ikos Consulting
Page(s): 059-068
DOI number: 10.35199/dsm2024.07
Abstract
This study addresses the complex network process regarding the technological swap of diesel-powered regional trains to reach the Paris Agreement's targets. Interviews with technical experts from Authorities for transport Organization on their Territory (AOT) allowed to build a stakeholder influence model, studying the interaction dynamics within this network. Thanks to a Design Structure Matrix (DSM) approach, we analyzed the complex stakeholder network influencing decarbonization strategies at the regional level. We investigate the workflows of various actors, including public authorities, industry experts, and technology providers, in selecting traction technologies. Our DSM analysis reveals the dominant roles of key public entities and strategic industrial stakeholders and highlights the challenges of integrating multicriteria considerations into the decision-making process. This research contributes to the DSM application for decision support with actor-actor workflows. The proposed methodology offers a structured framework for decision-making, reducing private sector bias and aligning with regional and environmental imperatives.
Keywords: stakeholder network, decision process clusters, topological analysis, railway decarbonization