UGOD Seminar | Urban Growth Models
Over the past four decades, the world has experienced rapid urbanization, with urban population growth and land expansion having a substantial and far-reaching impact on resources, the environment, ecosystems, and climate. Urban growth models are essential tools for understanding urban evolution, analyzing urban impacts, and predicting development trends. This presentation will review the research progress of urban growth models, with a focus on the role of cellular automata, machine learning, and other methods in urban growth simulation. It will also discuss the shift from urban land-use change simulation to three-dimensional morphological simulation and provides examples of applications of related models.
Dr. Yimin CHEN is a Professor and Ph.D. supervisor at the School of Geography and Planning, Sun Yat-sen University, where he serves as the Chair of the Department of Remote Sensing and Geographic Information Engineering. His research interests include urban big data computing, urban evolution process modeling, and scenario analysis for urban sustainable development. He has led multiple projects funded by the National Natural Science Foundation of China and the Natural Science Foundation of Guangdong Province. Professor CHEN has received support through the National Science Fund for Excellent Young Scholars and the Guangdong Natural Science Fund for Distinguished Young Scholars. He has published 39 SCI/SSCI papers as the first or corresponding author in renowned international geographical journals. Additionally, he was selected as Clarivate’s Highly Cited Researcher (Cross-Field) for three consecutive years (2021-2023) and was also named in the 2023 World’s Top 2% Scientists List by Stanford University. In 2019, he was awarded the Guangdong Provincial Science and Technology Progress Award (Second Prize).