Researchers: ChengHe Guan, Michael Keith
Description of work
To better understand the past, present, and future of the course of urban territorial development, it is necessary to comprehend the land distribution and consumption patterns. Regional urban growth modelling provides useful means of research through spatial analysis and interpolation. Among the various types, scenario-based cellular automata models that offer simulations within specified conditions to project potential outcomes further extend the advantages of land-based modelling approach in the general cellular automata models. This research is focused on four specific regional policy scenarios in the Yangtze River Delta region – one of the most developed regional urban networks in China – and uses the cellular automata model to simulate the respective spatial outcomes of land distribution and consumption. By adopting a scenario-based approach, the models are tailored to reflect the different regional policies, allowing the results to reveal the potential impacts of selected policies on the spatial patterns of land distribution and consumption. Through the scenario-based cellular automata modelling, this research addresses the spatial implications of regional urban policies, discusses the integration of urban networks, and envisages a process toward attaining optimal regional urban growth in China’s Yangtze River Delta.
Aims and research questions
The national policies of developing Xiong’An new district and the One Belt and One Road Initiative (OBOR) will have far-reaching influence on China’s urban landscape. Xiong’An is adding new dynamic to the JingJinJi regional urban network. It is a critical moment to provide spatial strategies that promote social stability, economic vitality, and global competitiveness. Furthermore, we will investigate Xiong’An in the context of other rapidly urbanizing regions in China: Yangtze River Delta and Pearl River Delta, for example. How can policy intervention contribute to resource allocation and ecological conservation?