The landscape of city‐level GHG emission accounts in Africa

B Liu, Y Shan, R Kuik, X Ji, L Chapungu… - Journal of Industrial …, 2024 - Wiley Online Library
Cities are important actors in the global challenge of tackling climate change. They are not
only responsible for the majority of emissions but also highly capable of taking action. An …

Towards sustainable logistics in Turkey: A bi-objective approach to green intermodal freight transportation enhanced by machine learning

FT Temizceri, SS Kara - Research in Transportation Business & …, 2024 - Elsevier
Transportation is a critical contributor to carbon emissions, with road transportation playing a
dominant role due to its dense network and versatility. However, the overreliance on road …

Applications of Machine Learning and Artificial Intelligence in Tropospheric Ozone Research

SHM Hickman, M Kelp, PT Griffiths… - …, 2025 - egusphere.copernicus.org
Machine learning (ML) is transforming atmospheric chemistry, offering powerful tools to
address challenges in tropospheric ozone research, a critical area for climate resilience and …

[HTML][HTML] New perspective of environmental impact research: predicting bus exhaust emissions using the ETSformer based on collaborative perception

Q Liu, L Zhang, C Lv, H Gao, Y Cai, L Chen - Sustainable Horizons, 2024 - Elsevier
Accurate prediction of urban traffic exhaust emissions plays a crucial role in controlling
motor vehicle exhaust pollution. Urban public transport vehicles often operate in stop-and …

Facilitating Battery Swapping Services for Freight Trucks with Spatial-Temporal Demand Prediction

L Liu, Z Dai, S Song, X Li, G Chen - arXiv preprint arXiv:2310.04440, 2023 - arxiv.org
Electrifying heavy-duty trucks offers a substantial opportunity to curtail carbon emissions,
advancing toward a carbon-neutral future. However, the inherent challenges of limited …