A Computational Model for Spatial Exploration in Regional Economic Collaborative Development: A Case Study

This paper proposes a computational model to explore regional economic collaborative development, using data from the Beijing-Tianjin-Hebei region as a case study. The model evaluates city clusters based on economic, social, and ecological indicators, offering a universal framework for assessing collaborative development potential. The analysis provides insights into the key drivers of regional growth and demonstrates the model's adaptability for broader applicationsThis study aligns with these strategic objectives by analyzing regional development from multiple angles and offering a fresh interpretation of new spaces in the context of city clusters. Through this lens, the paper aims to contribute to understanding the spatial dynamics of regional collaborative development, with a focus on how cities can leverage complementary advantages to achieve mutual benefits and high-quality growthThis computational approach serves as a foundation for understanding and optimizing the spatial structure of city clusters, providing a model that can be adapted to various regions within China and beyond. The model is trained with the data that is collected from the region in Beijing, Tianjin, Hebei. In this research, the trained model could be appplied in other areas for cooperating development and examinations.