Coupling agent-based modelling and life cycle assessment for a behaviour-driven evaluation of SAEVs

Mariana Vilaça*, Gonçalo H.A. Correia, Margarida C. Coelho

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Shared Automated Electric Vehicles (SAEVs) are poised to revolutionize future transportation. However, potential drawbacks, including increased vehicle usage and the projected shorter vehicle lifespan, introduce critical factors that may impact efficiency and environmental benefits. This research introduces a framework that integrates Agent-Based Modelling (ABM) with Life Cycle Assessment (LCA) for a behaviour-driven SAEV assessment. The ABM simulates regional SAEV operations, informing the LCA of pre- and post-integration scenarios. Sensitivity analysis on fleet sizes, system performance metrics, and Global Warming Potential (GWP) reference values are performed. Findings demonstrate that SAEVs significantly decrease the fleet size and total travel distance by raising the average travel per vehicle. SAEVs integration yields a 75–86% daily GWP reduction without significantly compromising user experience. Over 30 years, fleet replacement needs due to inadequate fleet sizing raised GWP by 170%. Balancing short and long-term environmental impact requires optimizing fleet size to achieve sustainable and efficient service delivery.
Original languageEnglish
Article number2315507
JournalTransportmetrica B: Transport Dynamics
Volume12
Issue number1
Early online date21 Feb 2024
DOIs
Publication statusPublished - Dec 2024

Keywords

  • Agent-based modelling (ABM)
  • Life cycle assessment (LCA)
  • Sharedautomated and electric vehicles (SAEVs)

ASJC Scopus subject areas

  • Software
  • Modelling and Simulation
  • Transportation

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