AI & Environment Resource HubThananya Janhuaton; Vatanavongs Ratanavaraha; Sajjakaj Jomnonkwao · 2024-06-20
Artificial neural networks (ANN) outperform other models in forecasting transportation-related CO2 emissions, highlighting their reliability for policy evaluation, with scenario analysis showing significant emission reductions under the “30@30” policy by 2030.
Thananya Janhuaton; Vatanavongs Ratanavaraha; Sajjakaj Jomnonkwao. 2024-06-20. Forecasting Thailand’s Transportation CO2 Emissions: A Comparison Among Artificial Intelligent Models. https://www.mdpi.com/2571-9394/6/2/26 (AI & Environment Resource Hub; record paper-050; collection snapshot 2026-09-15).
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Shared topics: Governance and society; Climate and greenhouse gases; Transport and logistics
This study shows that AI-driven transportation systems can significantly reduce urban carbon emissions and improve energy efficiency by optimizing routes, easing congestion, and enhancing public transit, while offering policy guidance for sustainable implementation.
Shared topics: Governance and society; Climate and greenhouse gases; Transport and logistics
The recent Sustainability Council webinar was an insightful and thought-provoking session led by Emma Herd, Partner at Ernst & Young’s Climate Change and Sustainability team and co-leader of EY’s Net-Zero Centre. The session tackled a highly relevant and timely topic: how emerging technologies like AI can be both a powerful tool and a complex challenge in the sustainability journey. Emma covered a wide range of topics, from the exponential growth of AI and its energy demands to its potential to transform ESG outcomes across sectors like manufacturing, logistics, finance and health.
Shared topics: Governance and society; Climate and greenhouse gases; Transport and logistics
As population growth, motorisation, and climate change strain urban mobility in the Asian region, the design and delivery of transport services are becoming increasingly complex. Experts Huê-Tâm Jamme and Kris Villanueva-Libunao explore why cities need equitable, people-centred planning that accounts for existing mobility patterns and what barriers exist to implementing AI for mobility.
Shared topics: Governance and society; Climate and greenhouse gases; Transport and logistics
As data centers rapidly expand across the country, they are driving significant demand for fossil-fired generation and the associated greenhouse gas emissions. State governments are looking for new tools to ensure data center growth doesn't undermine their climate goals. This toolkit draws on Climate XChange's review of over 400 data center bills introduced in 2025 and 2026 legislative sessions.