{"id":5751,"date":"2026-08-19T15:50:31","date_gmt":"2026-08-19T19:50:31","guid":{"rendered":"https:\/\/dcp.ufl.edu\/iadapt\/?page_id=5751"},"modified":"2026-09-22T11:55:20","modified_gmt":"2026-09-22T15:55:20","slug":"urban-planning-ai","status":"publish","type":"page","link":"https:\/\/dcp.ufl.edu\/iadapt\/urban-planning-ai\/","title":{"rendered":"Urban Planning AI"},"content":{"rendered":"\n
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Urban Planning AI<\/h1>\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<\/div><\/div>\n\n\n\n

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\"Cityscape<\/figure>\n<\/div>\n\n\n\n
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What We Do<\/h2>\n\n\n\n

We investigate how artificial intelligence can support planning analysis, plan-making, and decision-making. Our research examines human\u2013AI collaboration, planning automation, generative AI, data-driven planning, and governance frameworks for the responsible use of AI in planning.<\/p>\n<\/div>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n

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What We Are Trying to Achieve<\/h2>\n\n\n\n

We aim to develop frameworks, methods, and tools that clarify how AI can be integrated into planning practice, what tasks can be supported or automated, and where human judgment and oversight remain essential. Our goal is to support more transparent, accountable, and effective human\u2013AI collaboration in planning.<\/p>\n<\/div><\/div>\n\n\n\n

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Featured Research<\/h2>\n\n\n\n
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\"Aerial<\/figure>\n\n\n\n
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Development of a Prototype Land Use Model for Statewide Transportation Planning Activities<\/strong><\/h3>\n<\/div>\n\n\n\n
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Florida Model Information eXchange System (MIXS)<\/strong><\/h3>\n<\/div>\n\n\n\n
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Assessment of Modeling Framework for Micromobility<\/strong><\/h3>\n<\/div>\n\n\n\n
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Explore More Research<\/div><\/a><\/div><\/div>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
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Selected Publications<\/h2>\n\n\n\n

Peng, Z.-R., Lu, K.-F., Liu, Y., & Zhai, W. (2024). The pathway of urban planning AI: From planning support to plan-making. Journal of Planning Education and Research, 44<\/em>(4), 873\u2013885. https:\/\/doi.org\/10.1177\/0739456X231180568<\/a><\/p>\n\n\n\n

Peng, Z.-R., Lu, K.-F., Liu, Y., Hou, Q., & Zhang, Q. (2026). Symbiotic Planning Theory: The CORE framework for AI-human co-creation in urban planning. Journal of the American Planning Association.<\/em> https:\/\/doi.org\/10.1080\/01944363.2026.2640038<\/a><\/p>\n\n\n\n

Peng, Z.-R. (2026). Symbiotic Planning for Urban Futures: A Paradigm for Human-AI Co-Creation.<\/em> Elsevier.
https:\/\/shop.elsevier.com\/books\/symbiotic-planning-for-urban-futures\/peng\/978-0-443-45040-2<\/a><\/p>\n\n\n\n

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Explore More Publications<\/div><\/a><\/div><\/div>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

Urban Planning AI 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. What We Do We investigate how artificial intelligence can support planning analysis, plan-making, and decision-making. Our research […]<\/p>\n","protected":false},"author":259,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_uag_custom_page_level_css":"#primary {\n margin: 0;\n}","site-sidebar-layout":"no-sidebar","site-content-layout":"","ast-site-content-layout":"normal-width-container","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-5751","page","type-page","status-publish","hentry"],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"adoralin","author_link":"https:\/\/dcp.ufl.edu\/iadapt\/author\/adoralin\/"},"uagb_comment_info":0,"uagb_excerpt":"Urban Planning AI 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. What We Do We investigate how artificial intelligence can support planning analysis, plan-making, and decision-making. Our research…","_links":{"self":[{"href":"https:\/\/dcp.ufl.edu\/iadapt\/wp-json\/wp\/v2\/pages\/5751","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dcp.ufl.edu\/iadapt\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/dcp.ufl.edu\/iadapt\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/dcp.ufl.edu\/iadapt\/wp-json\/wp\/v2\/users\/259"}],"replies":[{"embeddable":true,"href":"https:\/\/dcp.ufl.edu\/iadapt\/wp-json\/wp\/v2\/comments?post=5751"}],"version-history":[{"count":0,"href":"https:\/\/dcp.ufl.edu\/iadapt\/wp-json\/wp\/v2\/pages\/5751\/revisions"}],"wp:attachment":[{"href":"https:\/\/dcp.ufl.edu\/iadapt\/wp-json\/wp\/v2\/media?parent=5751"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}