Synthetic Participatory Planning of Shared Automated Electric Mobility Systems

Jiangbo Yu () and Graeme McKinley
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Jiangbo Yu: Department of Civil Engineering, McGill University, Montreal, QC H3A 0C3, Canada
Graeme McKinley: Department of Bioengineering, McGill University, Montreal, QC H3A 0C3, Canada

Sustainability, 2024, vol. 16, issue 13, 1-32

Abstract: Unleashing the synergies among rapidly evolving mobility technologies in a multi-stakeholder setting presents unique challenges and opportunities for addressing urban transportation problems. This paper introduces a novel synthetic participatory method that critically leverages large language models (LLMs) to create digital avatars representing diverse stakeholders to plan shared automated electric mobility systems (SAEMS). These calibratable agents collaboratively identify objectives, envision and evaluate SAEMS alternatives, and strategize implementation under risks and constraints. The results of a Montreal case study indicate that a structured and parameterized workflow provides outputs with higher controllability and comprehensiveness on an SAEMS plan than that generated using a single LLM-enabled expert agent. Consequently, this approach provides a promising avenue for cost-efficiently improving the inclusivity and interpretability of multi-objective transportation planning, suggesting a paradigm shift in how we envision and strategize for sustainable transportation systems.

Keywords: stakeholder; language model; agent; avatar; shared autonomous electric vehicles; multi-criteria; transportation planning (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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