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Generative Agent-based Simulation of Mobility Policy Preferences from Surveys

US & West · yesterday

A framework converts real survey respondents into LLM agents for simulation. This approach improves realism of behavioral simulations and can be used for experiments in mobility policy.

Why it matters

Shows potential of LLM agents for modeling socio-economic processes, important for urban planning and policy analysis.

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Original headline: From Survey Personas to LLM Agents: A Generative Agent-based Simulation of Mobility Policy Preference Dynamics

Read the original: arXiv — Computers and Society (cs.CY)

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