CO2 Emission

Carbon dioxide (CO2) emissions research focuses on understanding emission patterns, predicting future trends, and identifying effective mitigation strategies. Current research utilizes diverse approaches, including statistical models (e.g., SARIMAX) and machine learning algorithms (e.g., LSTM, Random Forest) to analyze high-resolution daily emission data, predict future emissions, and explore the causal relationships between urban form and transportation emissions. These studies highlight the significant impact of CO2 emissions on climate change and the need for informed policy decisions, emphasizing the importance of accurate prediction and a deeper understanding of emission drivers across various sectors and geographical locations.