AI- and GIS-driven product service systems advance sustainable development in dense urban areas

AI- and GIS-driven product service systems advance sustainable development in dense urban areas | 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 AI- and GIS-driven product service systems advance sustainable development in dense urban areas MEHDI ALYARI, Mauricio Novoa Munoz, Maral Ahmadi This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6669376/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 The United Nations (UN) has taken an active role in using and integrating artificial intelligence (AI) with Geographic Information Systems (GIS) to grow its United Nations Sustainable Development Goals (UN SDGs). Among these are Goal 4, Quality Education; Goal 11, Sustainable Cities and Communities; Goal 12, Responsible Consumption and Production; Goal 13, Climate Change. This study explores sustainable furniture for the public space (locale that allows democratic opinion, discussion, and participation) and public spaces (physical locations such as streets, parks, and squares). AI (Hektar pro) and GIS can help assess urban futures using simulations and prototypes to foresee viable solutions to challenges such as climate change, renewable energy resources, social inequality, and community involvement. Several typologies of buildings and landscapes were presented to facilitate in constructive communication, reflection, and the visualization of potential urban solutions among participants. The interconnected bridges and urban furniture network is approached as an open-ended sustainable product-service system and a futuristic overview of social interaction, rather than a finished object completed at the manufacturing time. This structure can be interpreted in various ways regarding energy use in the public spaces of densely populated cities. Energy-wise projections were based on PV WATTS simulation software, providing a reliable and accurate estimation of solar energy production. The study claims that implementing of AI and GIS simulations may double the perception of functional public spaces and improve energy generation in dense urban cities. When properly calculated and implemented in residential areas and on a city scale, simulations can save significant amounts of user consumption. Urban Studies Renewable Energy User Needs GIS Urban Morphology. Product service system 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-6669376","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":456889865,"identity":"50e6ace3-3619-4886-ab68-cd6a0d24f81f","order_by":0,"name":"MEHDI ALYARI","email":"data:image/png;base64,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","orcid":"https://orcid.org/0009-0006-9471-8954","institution":"Qazvin Islamic Azad University","correspondingAuthor":true,"prefix":"","firstName":"MEHDI","middleName":"","lastName":"ALYARI","suffix":""},{"id":456889866,"identity":"f4af5ca6-b351-4afe-b2c0-b9cd66f623fc","order_by":1,"name":"Mauricio Novoa Munoz","email":"","orcid":"https://orcid.org/0000-0002-4014-010X","institution":"western Sydney university","correspondingAuthor":false,"prefix":"","firstName":"Mauricio","middleName":"Novoa","lastName":"Munoz","suffix":""},{"id":456889867,"identity":"935e9e15-a064-42c4-8221-e40a94246123","order_by":2,"name":"Maral Ahmadi","email":"","orcid":"","institution":"University of Tehran","correspondingAuthor":false,"prefix":"","firstName":"Maral","middleName":"","lastName":"Ahmadi","suffix":""}],"badges":[],"createdAt":"2025-05-15 06:28:35","currentVersionCode":1,"declarations":{"humanSubjects":true,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":true,"humanSubjectConsent":true,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-6669376/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6669376/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003e\u003cstrong\u003eAI- and GIS-driven product service systems advance sustainable development in dense urban areas\u003c/strong\u003e\u003c/p\u003e","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":false,"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":"Renewable Energy, User Needs, GIS, Urban Morphology. 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