Preprint / Versión 1

Artificial Intelligence in the Development of Greenhouse Gas Emission Inventories for Commuting: A Case Study at the University of Sao Paulo’s Butantan Campus

article.authors6aadf740a3271

  • Marcio Maia Vilela Universidade de São Paulo image/svg+xml https://orcid.org/0000-0002-0623-9229
    • Conceptualization
    • Data Curation
    • Formal Analysis
    • Investigation
    • Methodology
    • Validation
    • Visualization
    • Writing – Original Draft Preparation
    • Writing – Review & Editing
  • José Aquiles Baesso Grimoni Universidade de São Paulo image/svg+xml https://orcid.org/0000-0002-7553-3907
    • Conceptualization
    • Data Curation
    • Formal Analysis
    • Investigation
    • Methodology
    • Supervision
    • Validation
    • Visualization
    • Writing – Original Draft Preparation
    • Writing – Review & Editing

DOI:

https://doi.org/10.1590/SciELOPreprints.18063

Keywords:

GHG Emissions, commuting, artificial intelligence, HEIs, butantan campus, sustainability, urban mobility

Resumen

Higher Education Institutions (HEIs) play a crucial role in mitigating climate change, as centres of research and sustainable practices. This article addresses USP’s Butantan Campus, using generative Artificial Intelligence (AI) tools An Origin-Destination survey (6,700 responses), calculated distances, transport modes, and associated emissions. Commuting accounts for a GHG emissions, exceeding Scope 1 and 2 emissions under certain contexts. Including Scope 3 in HEIs’ GHG inventories is critical and proposes strategies to reduce emissions, such as prioritising sustainable public transport, creating cross-sectoral committees, and adopting a "green curriculum" within HEIs. AI innovates GHG inventories and public policies. HEIs must lead by example

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Biografía del autor/a

Marcio Maia Vilela, Universidade de São Paulo

Pós Doutor pesquisador ´POLI-USP

José Aquiles Baesso Grimoni, Universidade de São Paulo

Prof. titular POLI-USP

Enviado

18/09/2026

Postado

18/09/2026

Cómo citar

Artificial Intelligence in the Development of Greenhouse Gas Emission Inventories for Commuting: A Case Study at the University of Sao Paulo’s Butantan Campus. (2026). In SciELO Preprints. https://doi.org/10.1590/SciELOPreprints.18063

Serie

Ingeniería

Plaudit

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