iAdapt — International Center for Adaptation Planning and Design

Advance AI-enabled planning, resilient mobility, and climate adaptation for the cities of tomorrow.

About iAdapt

iAdapt is an interdisciplinary research center at the University of Florida focused on urban planning AI, urban mobility, and climate adaptation. Our research examines how AI can support and automate parts of the planning and decision-making process, how emerging mobility technologies are reshaping cities, and how communities can become more resilient to climate change. We bring together scholars, practitioners, and students to develop new methods, tools, and knowledge for resilient, sustainable communities.

What We Do

1. Advance Planning Theory and Technology

Our research advances planning theory by developing new frameworks and methods for understanding and responding to changes in the built and natural environment.

2. Educate Future Planners and Researchers

We mentor Ph.D., master’s, and undergraduate students through hands-on research projects, cultivating the next generation of planners and researchers.

3. Serve Communities and Policymakers

We partner with local governments, agencies, and coastal communities, providing research, data, and planning guidance that help them build more resilient communities.

News & Events

Table showing four types of urban planning AI, their roles, and planner/AI collaboration. Diagrams illustrate agent/planner relationships as loops, with increasing AI autonomy from out-of-the-loop to planner-out-of-the-loop.

From “Smarter Models” to “More Accountable Decisions”: Human-AI Symbiosis in Urban Planning in the Digital Intelligence Era

Editor’s Introduction The 10th “Chengyuan Cup Planning Decision Support Model Design Competition” is now underway. This year’s competition focuses on land and space governance for ecological civilization and high quality urban development. It continues to support digital technology driven planning innovation and academic exchange in quantitative planning research. For this…

From Pathway to Symbiosis: Rethinking Urban Planning in the Age of AI

This feature interview traces eight years of research by Professor Zhong-Ren Peng of the University of Florida on artificial intelligence and urban planning. It follows his path from the four-stage typology of urban planning AI proposed in the “Pathway” paper to Symbiotic Planning Theory and the CORE framework for governed…

Six people stand side by side, smiling at the camera, in an outdoor modern concrete architectural setting with stairs and ramps in the background. Four wear casual clothing, one wears a pink shirt, and another wears patterned pants.

Symbiotic Planning Theory: The CORE Framework for Human–AI Cocreation in Urban Planning

A new JAPA article by Zhong-Ren Peng and collaborators introduces the CORE framework for accountable human–AI collaboration in urban planning.

A man in a cap stands outside a building with green awnings and a pink wall, looking at his phone. Fallen branches and debris are scattered across the ground after a storm.

Recent Research Projects

Our recent focus areas—Urban Planning AI, Transportation Planning, and Adaptation Planning from Climate Change.

Our Impact

Publications

Graduate Students

Research Projects

M+

Research Grants