Moghtader, BardiaÜlengin, FüsunGündeş, Eda HelinTopcu, Yusuf IlkerAktas, Emel2023-08-052023-08-052023-07-05Moghtader B, Ulengin F, Gundes EH, et al., (2023) Trade flows and carbon emissions: can we achieve climate targets? In: 30th EurOMA Conference, 3-5 July 2023, Leuven, Belgiumhttps://euroma2023.org/https://dspace.lib.cranfield.ac.uk/handle/1826/20048Policymakers have been calling for actions to meet the UN targets to reduce emissions to 1990 levels. Aligned with the aim of this study, we use a range of machine learning methods to predict the carbon emissions of 30 countries and establish those that are on track to achieve the UN targets. We provide a breakdown of the forecasted freight modal emissions of 23 countries using trade flows. We segment them using K-Means clustering to compare their CO2 emanations. Our findings indicate that only three countries are in line with the mentioned targets. Thus, we propose actions for those that are not.enAttribution-NonCommercial 4.0 Internationalhttp://creativecommons.org/licenses/by-nc/4.0/trade flowscarbon emissionspredictionConference paper