Exploring the growth pattern of urban agglomeration in the terminal urbanization stage by integrating inertial driving factors, spatial development strategy, and urbanization cycle

Urban Farm DB summary

This study developed a framework to explore urban agglomeration growth patterns in the terminal urbanization stage, integrating inertial driving factors, spatial development strategy, and urbanization cycles represented by constrained S-curves. The framework was applied to the Guangdong-Hong Kong-Macao Greater Bay Area as a case study. Results showed that planning strategy can reshape growth patterns, subregional constrained S-curves can reasonably predict urban quantity, and the coupled model provides a referable simulation pattern for urban agglomeration.