About Us

iAdapt is an interdisciplinary research center at the University of Florida. Our community brings together internationally recognized scholars, planning practitioners, and doctoral, master’s, and undergraduate students. Supported by national and state funded research grants, our work connects academic research with real-world planning challenges.

Our vision is to become a leading research and education center for Urban Planning AI, advanced urban mobility, and climate resilience—helping cities anticipate change and prepare for future challenges.

Our mission is to advance Urban Planning AI, design equitable and resilient transportation systems, and develop actionable strategies for climate adaptation. Through interdisciplinary research, education, and community engagement, we equip urban and coastal communities with the knowledge, tools, and guidance needed to build more adaptive and sustainable futures.

We investigate how AI can collaborate with planners, support plan-making and decision-making, and facilitate responsible planning automation. Our research also examines human–AI interaction and develops governance frameworks for transparent, accountable, and effective Urban Planning AI.

We study emerging transportation systems—including microtransit, micromobility, electrification, ridesourcing, public transit, and autonomous vehicles—and their effects on travel behavior, accessibility, and urban development. We also use AI-driven methods to evaluate the performance and resilience of mobility systems under climate hazards.

We assess the vulnerability of communities and infrastructure to sea-level rise, hurricanes, extreme precipitation, and other climate hazards. We develop practical strategies for climate action, land-use planning, managed relocation, and long-term community resilience.

We translate research into practical knowledge and resources for communities, planning professionals, and policymakers through:

  • Books, articles, and reports that support mobility planning, climate adaptation and resilience planning.
  • Data, models, and scenario-building tools that help decision-makers anticipate change and evaluate future risks.
  • Public engagement and educational initiatives that incorporate community perspectives and values into planning process, research, and model development.
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