Developing Advanced Digital Twin Models to Accurately Predict the Long- Term Environmental Impact of Urban Development on Local Ecosystems

Advanced digital twin models offer a powerful tool for accurately predicting the long-term environmental impact of urban development on local ecosystems. This study explores the integration of real-time data, machine learning, and simulation techniques in creating dynamic digital twins. Results highlight significant improvements in predictive accuracy, enabling more informed decision-making for sustainable urban planning.