CECI and Partners Propose AI-Enabled GeoDesign Park Planning Workflow Powered by UDiScape

Addressing complex demands surrounding high-tech manufacturing, energy resilience, and climate adaptation, engineering and planning specialists from CECI Engineering Consultants and RJ Engineering Technology published a technical feature in CECI Engineering Technology outlining an AI-enabled GeoDesign workflow centered on the UDiScape generative AI platform. The authors observed that traditional park planning, which relies on linear land allocation and segmented engineering tasks, struggles to handle multi-objective coordination. The proposed AI-enabled GeoDesign framework comprises four main phases: data structuring and scenario definition to construct a shared spatial base; option generation using UDiScape with prompt weights, sketches, or depth maps to yield multiple spatial perspectives; simulation assessment to examine energy, drainage, thermal comfort, and carbon metrics; and decision implementation to feed findings back into statutory documents and engineering designs. The platform architecture incorporates data input, generative control, output delivery, and external system integration modules, while exploring RAG and AI Agent workflows to aid regulatory checks and documentation. Tested in pilot cases such as the Haifeng and Hualien Cultural Creative parks, visual draft generation took approximately 2 to 3 working days. The authors emphasized that AI serves to assist cross-discipline iteration rather than replace professional responsibility, noting ongoing challenges in data consistency, regulatory compliance, and lifecycle BIM integration.

Key takeaways

• The framework integrates four stages—data structuring, option generation, simulation assessment, and decision implementation—to support comparative evaluations on a shared base map.
• The UDiScape platform utilizes geometric and style controls to curb generative randomness, with plans to incorporate RAG and AI Agents for code compliance and report drafting.
• Practical trials on Haifeng and Hualien Cultural Creative park cases demonstrated visual synthesis turnaround times of roughly 2 to 3 working days once data was supplied.
• The authors stress that AI cannot replace professional accountability in statutory and safety reviews, noting challenges in data authority, lifecycle data handoff, and organizational workflows.