CivicMorph: Generative Modeling for Public Space Form Development

CivicMorph: Generative Modeling for Public Space Form Development | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article CivicMorph: Generative Modeling for Public Space Form Development Haoran Xu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7143851/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Public spaces play a crucial role in urban environments, and their design must consider various factors to optimize functionality and user experience. CivicMorph, a generative modeling framework, stands at the forefront of this challenge, utilizing computational design and generative algorithms to craft responsive urban spaces. It emphasizes inclusivity by incorporating user-centric data alongside environmental parameters to create diverse spatial configurations. The framework fosters collaboration among stakeholders through design patterns and spatial analytics, ensuring that the planning process is participatory. Case studies illustrate CivicMorph's capability to produce public space designs that adapt to social dynamics and environmental considerations. The findings highlight notable enhancements in user satisfaction and functional efficiency, positioning CivicMorph as an innovative solution for urban design challenges. Public Modeling Spatial Analytics User Experience Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7143851","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":486582411,"identity":"f53051a4-fdda-4014-99ec-6ea2f1e288d9","order_by":0,"name":"Haoran Xu","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA3ElEQVRIiWNgGAWjYBACAwbmww8SeGwYGNgZGJiBXCBIIKSFLc3gg0waSD3RWngMJGfYHIZqYSBCi7lEgoExT855eX5mHtPNBQV2DPzsOQZ4tVj2HEh4zHPmtuHMZh6z2zMMkhkke97g12JwvOGAMW/P7QSDw0AtPAZA79wgYIvBYcYGad5/52Ba6hnsCWo53swgOYPnAEzLYQYDCUJazhxjM/jAkwz0C1sZ0C/HeSTOPCvAr+VG/mdgVNrJ87M3b7td8Kdajr89eQNeLRiAhzTlo2AUjIJRMAqwAgA9rUMWh5zZXQAAAABJRU5ErkJggg==","orcid":"","institution":"Columbia University","correspondingAuthor":true,"prefix":"","firstName":"Haoran","middleName":"","lastName":"Xu","suffix":""}],"badges":[],"createdAt":"2025-07-17 01:14:01","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-7143851/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7143851/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":87161392,"identity":"0564c15d-2cef-4808-bb2c-242351d75998","added_by":"auto","created_at":"2025-07-21 05:05:32","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":933084,"visible":true,"origin":"","legend":"","description":"","filename":"CivicMorphGenerativeModelingforPublicSpaceFormDevelopment1.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7143851/v1_covered_050d256f-06ba-42b3-bf18-7678cd4c1047.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003e\u003cstrong\u003eCivicMorph: Generative Modeling for Public Space Form Development\u003c/strong\u003e\u003c/p\u003e","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"Columbia University","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":" Public Modeling, Spatial Analytics, User Experience","lastPublishedDoi":"10.21203/rs.3.rs-7143851/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7143851/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003ePublic spaces play a crucial role in urban environments, and their design must consider various factors to optimize functionality and user experience. 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