Abstract for: A CityGML-Based 3D Policy Simulation Environment for Curating and Validating Digital Land Information Resources

Digital land information resources are often fragmented across institutions, data formats, and update cycles, limiting integrated use, validation, and timely policy support. In addition, large-scale CityGML datasets are difficult to utilize directly in real-time web environments due to their size and structural complexity. These limitations reduce the practical usability of digital land information for planning and decision-making. This study addresses these challenges by proposing a policy-ready 3D spatial information environment for managing and validating digital land information resources. The proposed platform integrates institutional data ingestion, metadata and history management, validation workflows, API-based data linkage, and lightweight CityGML transformation. It is designed as a modular system that supports the management and use of validated 3D spatial information in web environments. A lightweight processing module enables efficient visualization and dynamic thematic mapping. The platform also supports the preparation of policy-oriented analysis and scenario development within a Cesium-based 3D web environment. The platform established an integrated environment for spatial data lifecycle management and validated 3D spatial information for web-based use. Evaluation results showed 92% automation in institutional data collection and linkage workflows and 98% accuracy in data history tracking. The lightweight CityGML module enabled real-time visualization and improved the technical usability of large-scale 3D spatial datasets. These results demonstrate the platform’s effectiveness in supporting scalable management and practical web-based use of digital land information resources. The results indicate that the proposed platform can significantly improve the usability and management of digital land information resources in web environments. By integrating interoperability, validation processes, and lightweight 3D transformation, the system enables more efficient use of complex spatial datasets for policy analysis. This approach provides a practical foundation for policy-ready spatial information systems and offers a reusable framework for future policy simulation, digital land management, and data-driven decision-support services.