Geospatial Neural Networks: Enhancing Smart City through Location Intelligence

Geospatial Neural Networks: Enhancing Smart City through Location Intelligence | 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 Geospatial Neural Networks: Enhancing Smart City through Location Intelligence Junjie Chen This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6222050/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 Large cities are increasingly leveraging technology to enhance urban living and operational efficiency. The emergence of Geospatial Neural Networks (GeoNNs) offers a novel solution to improve smart city initiatives through advanced location intelligence. By effectively integrating both spatial and temporal data, GeoNNs can learn from the complexities of urban environments. This innovative method enhances applications in areas such as traffic management, environmental monitoring, and urban planning. Utilizing graph neural networks, our approach captures the intricate interactions among urban elements, which significantly aids in informed decision-making. GeoNNs also support real-time data processing, essential for responding dynamically to the demands of smart city infrastructure. Computer Architecture and Engineering Geospatial Neural Network Spatial Data Pipelines Real-time Processing 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-6222050","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":428496626,"identity":"b526739d-9034-4215-9320-abe4a88da5cb","order_by":0,"name":"Junjie Chen","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA3klEQVRIiWNgGAWjYBACxgb+Bwc+/rNhYGBnYGBmMACJJRDSwsP4cAZbGkg9kVoYGHiYjTnYDkO1MBChhbn97DFpBp7z8vzMPKabCwrsGPjZcwzwO6wnL026QOK24cxmHrPbMwySGSR73hDQMoPBTHqGwe0Eg8NALTwGQO/cIGQLSAtPwjmYlnoGe8JaeIyNeQ4cgGk5zGAgQdAvaYkPZzYkA/3CVgb0y3EeiTPPCvBqMWw/fODAxwY7eX725m23C/5Uy/G3J2/Ar6UBTYAHr3IQkCeoYhSMglEwCkYBAHmUQiinPEuQAAAAAElFTkSuQmCC","orcid":"","institution":"Columbia University","correspondingAuthor":true,"prefix":"","firstName":"Junjie","middleName":"","lastName":"Chen","suffix":""}],"badges":[],"createdAt":"2025-03-13 17:27:18","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-6222050/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6222050/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":78820078,"identity":"af98710b-fb04-41bb-9df1-e9d864ebbac0","added_by":"auto","created_at":"2025-03-19 11:24:45","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1122007,"visible":true,"origin":"","legend":"","description":"","filename":"19ae767d099b4ea3b92cc45393e82374.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6222050/v1_covered_d6d0c7bb-314b-4e06-ae3e-e2f9518a3c6e.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003eGeospatial Neural Networks: Enhancing Smart City through Location Intelligence\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":"Geospatial Neural Network, Spatial Data Pipelines, Real-time Processing","lastPublishedDoi":"10.21203/rs.3.rs-6222050/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6222050/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eLarge cities are increasingly leveraging technology to enhance urban living and operational efficiency. 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