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iAdapt \u2014 International Center for Adaptation Planning and Design<\/h1>\n\n\n\n

Advance AI-enabled planning, resilient mobility, and climate adaptation for the cities of tomorrow.<\/p>\n\n\n \n\t\t\t

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About iAdapt<\/h2>\n\n\n\n

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.<\/p>\n\n\n\n

What We Do<\/h3>\n\n\n\n
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1. Advance Planning Theory and Technology<\/strong><\/h4>\n\n\n\n

Our research advances planning theory by developing new frameworks and methods for understanding and responding to changes in the built and natural environment.<\/p>\n<\/div>\n\n\n\n

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2. Educate Future Planners and Researchers<\/strong><\/h4>\n\n\n\n

We mentor Ph.D., master’s, and undergraduate students through hands-on research projects, cultivating the next generation of planners and researchers.<\/p>\n<\/div>\n\n\n\n

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3. Serve Communities and Policymakers<\/strong><\/h4>\n\n\n\n

We partner with local governments, agencies, and coastal communities, providing research, data, and planning guidance that help them build more resilient communities.<\/p>\n<\/div>\n<\/div><\/div>\n\n\n\n

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News & Events<\/h2>\n\n\n\n\t\t\t
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\n\t\t\t\tFrom “Smarter Models” to “More Accountable Decisions”: Human-AI Symbiosis in Urban Planning in the Digital Intelligence Era<\/a>\n\t\t\t<\/h4>\n\t\t\t\t\t\t
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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…\t\t\t\t<\/div>\n\t\t\t\t\t\t

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\n\t\t\t\tFrom Pathway to Symbiosis: Rethinking Urban Planning in the Age of AI<\/a>\n\t\t\t<\/h4>\n\t\t\t\t\t\t
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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…\t\t\t\t<\/div>\n\t\t\t\t\t\t

\n\t\t\t\tRead More<\/a>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t\t\t\t<\/article>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t
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\n\t\t\t\tSymbiotic Planning Theory: The CORE Framework for Human\u2013AI Cocreation in Urban Planning<\/a>\n\t\t\t<\/h4>\n\t\t\t\t\t\t
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\n\t\t\t\t\tA new JAPA article by Zhong-Ren Peng and collaborators introduces the CORE framework for accountable human\u2013AI collaboration in urban planning.\t\t\t\t<\/div>\n\t\t\t\t\t\t
\n\t\t\t\tRead More<\/a>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t\t\t\t<\/article>\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t<\/div><\/div>\n\n\n\n
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Our Recent Research<\/h2>\n\n\n\n
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Urban Planning AI<\/strong><\/h3>\n\n\n\n

We investigate how AI can collaborate with planners, support plan-making and decision-making, and facilitate responsible planning automation. Our research also examines human\u2013AI interaction and develops governance frameworks for transparent, accountable, and effective Urban Planning AI.<\/p>\n\n\n\n

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Explore Urban Planning AI<\/div><\/path><\/svg><\/span><\/a><\/div><\/div>\n<\/div><\/div>\n<\/div>\n\n\n\n
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Advanced Urban Mobility<\/strong><\/h3>\n\n\n\n

We study emerging transportation systems\u2014including microtransit, micromobility, electrification, ridesourcing, public transit, and autonomous vehicles\u2014and 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.<\/p>\n\n\n\n

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Explore Advanced Urban Mobility<\/div><\/path><\/svg><\/span><\/a><\/div><\/div>\n<\/div><\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n
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Climate Adaptation and Resilience<\/strong><\/h3>\n\n\n\n

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.<\/p>\n\n\n\n

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Explore Climate Adaptation and Resilience<\/div><\/path><\/svg><\/span><\/a><\/div><\/div>\n<\/div><\/div>\n<\/div>\n\n\n\n
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Our Impact<\/h2>\n\n\n\n
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Publications<\/div><\/div>\n<\/div>\n\n\n\n
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Graduate Students<\/div><\/div>\n<\/div>\n\n\n\n
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Research Projects<\/div><\/div>\n<\/div>\n\n\n\n
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Research Grants<\/div><\/div>\n<\/div>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
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Career Pathways<\/strong><\/h2>\n\n\n\n
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Become a Researcher<\/strong><\/h3>\n\n\n\n

Pursue academic and research careers, contributing new knowledge and methods that shape the future of cities and communities.<\/p>\n<\/div>\n\n\n\n

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Yanghe Liu<\/strong><\/h3>\n\n\n\n

Assistant Professor, Ph.D.<\/em><\/p>\n\n\n\n

Current Position:<\/strong> School of Architecture, Planning and Landscape (SAPL), University of Calgary<\/p>\n<\/div>\n<\/div><\/div>\n<\/div>\n\n\n\n

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Kaifa Lu<\/strong><\/h3>\n\n\n\n

Postdoctoral Research Associate<\/em><\/p>\n\n\n\n

Organization:<\/strong> Department of Civil, Environmental & Construction Engineering, Texas Tech University<\/p>\n<\/div>\n<\/div><\/div>\n<\/div>\n\n\n\n

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Wei Zhai<\/strong><\/strong><\/h3>\n\n\n\n

Associate Professor<\/em><\/p>\n\n\n\n

Organization:<\/strong> Department of Civil, Environmental & Construction Engineering, Texas Tech University<\/p>\n<\/div>\n<\/div><\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n

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Yi Zhang<\/strong><\/strong><\/h3>\n\n\n\n

Transportation Planner<\/em><\/p>\n\n\n\n

Organization:<\/strong> CTS Engineering<\/p>\n<\/div>\n<\/div><\/div>\n<\/div>\n\n\n\n

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Haitao Yu<\/strong><\/strong><\/h3>\n\n\n\n

Transportation Analyst<\/em><\/p>\n\n\n\n

Organization:<\/strong> Kittelson & Associates, Inc.<\/p>\n<\/div>\n<\/div><\/div>\n<\/div>\n\n\n\n

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Jie Song<\/strong><\/strong><\/h3>\n\n\n\n

Scientist<\/em><\/p>\n\n\n\n

Organization:<\/strong> Institute of High Performance Computing, Agency for Science, Technology, and Research, Singapore<\/p>\n<\/div>\n<\/div><\/div>\n<\/div>\n<\/div>\n\n\n\n

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Become a Planner<\/strong><\/h3>\n\n\n\n

Join public agencies and planning firms to design and implement strategies that build smarter, more resilient, and more sustainable communities.<\/p>\n<\/div>\n<\/div><\/div>\n\n\n\n

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Join Industry & Public Service<\/strong><\/h3>\n\n\n\n

Apply your expertise in industry, technology, and nonprofit or community organizations, bringing research into practice for real-world impact.<\/p>\n<\/div>\n\n\n\n

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Fei Yang<\/strong><\/strong><\/h3>\n\n\n\n

Deputy Director, Ph.D<\/em>.<\/p>\n\n\n\n

Organization:<\/strong> Zhejiang University, Urban Rural Planning & Design Institute
Chief Representative in China, the American Planning Association<\/p>\n<\/div>\n<\/div><\/div>\n<\/div>\n\n\n\n

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Xinyu Fu<\/strong><\/strong><\/h3>\n\n\n\n

Lecturer<\/em><\/p>\n\n\n\n

Organization:<\/strong> University of Waikato<\/p>\n<\/div>\n<\/div><\/div>\n<\/div>\n\n\n\n

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Yujun Deng<\/strong><\/strong><\/h3>\n\n\n\n

Data Scientist, Ph.D.<\/em><\/p>\n\n\n\n

Organization:<\/strong> Boxy Charm<\/p>\n<\/div>\n<\/div><\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n

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Ph.D. in Urban Planning at University of Florida<\/strong><\/strong><\/h2>\n\n\n\n

All Ph.D. students are expected to obtain a master\u2019s degree in Computer Science related fields<\/a> <\/strong>while pursuing your doctoral degree. In another word, you will be expected to earn two degrees in four years, one in Ph.D. in Design, Construction and Planning with a concentration in Urban and Regional Planning, <\/strong>and the other with MS in Computer Science related fields <\/strong>(with the focus on AI).<\/p>\n\n\n\n

This position is fully funded for four years including tuition, eligible insurance, and stipends. Furthermore, our Ph.D. program is STEM-accredited program<\/a><\/strong>.<\/p>\n\n\n\n

Position Requirements<\/strong><\/h3>\n\n\n\n