Improving Real Estate Appraisal with POI Integration and Areal Embedding

Improving Real Estate Appraisal with POI Integration and Areal Embedding | 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 Short Report Improving Real Estate Appraisal with POI Integration and Areal Embedding Sumin Han, Youngjun Park, Sonia Sabir, Jisun An, Dongman Lee This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4555355/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 Despite advancements in real estate appraisal methods, this study primarily focuses on two pivotal challenges. Firstly, we explore the often-underestimated impact of Points of Interest (POI) on property values, emphasizing the necessity for a comprehensive, data-driven approach to feature selection. Secondly, we integrate road-network-based Areal Embedding to enhance spatial understanding for real estate appraisal. We first propose a revised method for POI feature extraction, and discuss the impact of each POI for house price appraisal. Then we present the Areal embedding-enabled Masked Multihead Attention-based Spatial Interpolation for House Price Prediction (AMMASI) model, an improvement upon the existing ASI model, which leverages masked multi-head attention on geographic neighbor houses and similar-featured houses. Our model outperforms current baselines and also offers promising avenues for future optimization in real estate appraisal methodologies. House price appraisal Point of Interest (POI) Areal Embedding Masked multi-head attention Full Text Additional Declarations No competing interests reported. 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-4555355","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Short Report","associatedPublications":[],"authors":[{"id":326452492,"identity":"b89a3837-734d-4187-ac71-c38175e3afb2","order_by":0,"name":"Sumin Han","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA5ElEQVRIiWNgGAWjYBACAwYGxgcfDCTkJBgYGyBCPIS1MBvOKLAwBms5QKQWNmGeDxWJM0A8orSY859OY+YxkEif2X64+fMHBjt5Bp6zD/BqsZyRu+3hHAOJ3Nk8iW0SBxiSDRt42w3wO+wG73aDN0At8xgS24AOY05g4Gcj4JfzZ7dJgBwmx/+w+cMBhnoitBzI3SYJ1JIgLZHYAHTY4QQG3jYCWm7kbjacYSBhOHPGwzaJMwbHDdt4jhF02MYHH/7UyUucT3/8oaKiWp6fJw2/FnQTgNFEkoZRMApGwSgYBVgBALBxQ9eLO+TiAAAAAElFTkSuQmCC","orcid":"","institution":"Korea Advanced Institute of Science and Technology","correspondingAuthor":true,"prefix":"","firstName":"Sumin","middleName":"","lastName":"Han","suffix":""},{"id":326452494,"identity":"6354231a-b649-4d89-bf95-13db671b4ab8","order_by":1,"name":"Youngjun Park","email":"","orcid":"","institution":"Korea Advanced Institute of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"Youngjun","middleName":"","lastName":"Park","suffix":""},{"id":326452495,"identity":"fbdab462-944e-4acd-8b93-78dec700319e","order_by":2,"name":"Sonia Sabir","email":"","orcid":"","institution":"Korea Advanced Institute of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"Sonia","middleName":"","lastName":"Sabir","suffix":""},{"id":326452496,"identity":"3a2f009d-fd0f-42b1-8fa4-ef5d8399160e","order_by":3,"name":"Jisun An","email":"","orcid":"","institution":"Indiana University Bloomington","correspondingAuthor":false,"prefix":"","firstName":"Jisun","middleName":"","lastName":"An","suffix":""},{"id":326452497,"identity":"4f6db218-1e6e-4e2a-b396-f4847835522b","order_by":4,"name":"Dongman Lee","email":"","orcid":"","institution":"Korea Advanced Institute of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"Dongman","middleName":"","lastName":"Lee","suffix":""}],"badges":[],"createdAt":"2024-06-10 01:44:29","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4555355/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4555355/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":74065088,"identity":"eb992774-dcc1-4d93-81a2-7a9c575da6ad","added_by":"auto","created_at":"2025-01-17 11:54:41","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2628303,"visible":true,"origin":"","legend":"","description":"","filename":"PAKDD2024HousePriceAppraisalAuthorVisibleCameraReady1.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4555355/v1_covered_68b5df8a-5178-45d5-a0b6-d729fc116074.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Improving Real Estate Appraisal with POI Integration and Areal Embedding","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","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":"House price appraisal, Point of Interest (POI), Areal Embedding, Masked multi-head attention","lastPublishedDoi":"10.21203/rs.3.rs-4555355/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4555355/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Despite advancements in real estate appraisal methods, this study primarily focuses on two pivotal challenges. 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