Author(s)

Zi’ao Huang

Corresponding Author

Zi’ao Huang

Abstract

Based on the digital twin technology, this study proposes an integrated modelling framework aimed at assisting sustainable development planning and policy formulation in remote and impoverished areas. Taking Zhaojue County in Sichuan Province as an example, a digital twin model including three core modules of geography, economy and policy intervention is constructed. The geographic model uses GIS and remote sensing data to dynamically simulate changes in regional geographic features and infrastructure; the economic model evaluates the dynamic changes in economic indicators such as GDP and employment rate through time-series analysis and multi-intelligent body system; and the policy intervention model combines the multi-intelligent body system and system dynamics to simulate the integrated impacts of the policy implementation on the regional economy, society, and environment. The study evaluates the economic benefits, environmental impacts and social well-being of different policy options through policy scenario simulation, and provides suggestions for optimal policy combinations through optimisation algorithms. Ultimately, the study provides policy makers in remote areas with a scientific, data-driven tool to support more accurate pro-poor policy formulation and implementation, and help the region's sustainable economic and social development. By modelling the long-term impacts of economic policies, this study can contribute to the development of sustainable development strategies that balance economic growth with social and environmental considerations, and the proposed digital twin model can be continually updated with new data and insights to continually improve recommended policies and intervention strategies.

Keywords

Digital Twins, GIS, Economic Models, Policy Interventions