Artificial Intelligence in the Development of Greenhouse Gas Emission Inventories for Commuting: A Case Study at the University of Sao Paulo’s Butantan Campus
DOI:
https://doi.org/10.1590/SciELOPreprints.18063Palavras-chave:
GHG Emissions, commuting, artificial intelligence, HEIs, butantan campus, sustainability, urban mobilityResumo
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
Downloads
Enviado
Postado
Como Citar
Série
Copyright (c) 2026 Marcio Maia Vilela, José Aquiles Baesso Grimoni

Este trabalho está licenciado sob uma licença Creative Commons Attribution 4.0 International License.
Plaudit
Declaração de dados
-
Os dados de pesquisa estão contidos no próprio manuscrito


