Design, Construction and Planning
International Center for Adaptation Planning and Design (iAdapt)
Led by Zhong-Ren Peng · Urban and Regional Planning
What we study
iAdapt studies how AI and new mobility tech can help cities adapt to climate change, using computer models and data analysis. They also research how planners and communities can work with AI to make decisions.
What working here is like
- Computational
- Coding helps
- Papers
- 5
Recent papers, explained
- Symbiotic Planning Theory: The CORE Framework for Human–AI Cocreation in Urban Planning
2026 · Journal of the American Planning Association
Developed a framework for human-AI collaboration in urban planning with safeguards for accountability.
- VARSD-Net: Vision Adaptive Robust Scene Detection Network for Rainy and Low-Light Conditions
2026 · Expert Systems with Applications
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- From pathway to symbiosis: rethinking urban planning in the age of AI
2026 · Frontiers of Urban and Rural Planning
Explores how AI can improve urban planning while maintaining democratic accountability.
- Governing fully autonomous vehicle adoption: A state-of-the-art review of public acceptance, system impacts, and policy pathways
2026 · Transport Policy
Examines public acceptance and policy impacts of fully autonomous vehicles in transportation.
- RADNet: A robust adaptive detection network enabling automated traffic perception in complex foggy roadway environments
2026 · Advanced Engineering Informatics
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Zhong-Ren Peng hasn't set up this page yet. Their UF Scholars profile lists their publications.