Spatial Analysis of House Price Distribution and Growth in Metropolitan Cities – a Case Study of Melbourne, Australia

Spatial Analysis of House Price Distribution and Growth in Metropolitan Cities – a Case Study of Melbourne, Australia | 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 Spatial Analysis of House Price Distribution and Growth in Metropolitan Cities – a Case Study of Melbourne, Australia Md Zillur Rahman, Yogi Vidyattama, Delwar Akbar, John Rolfe This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6689174/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 Urban local amenities significantly influence house price distribution and growth among the suburbs in metropolitan cities in Australia and in many developed nations. Over the past two decades, Australian metropolitan regions have seen house prices rise by as much as 120%, with notable variations across suburbs. Melbourne. Therefore, this study aims to examine the variations in house price distribution and growth from 2006 to 2016 among the 43 suburbs to understand the impact of urban local amenities. This study used GIS-based statistical methods; in particular, Local Moran’s I reveals spatial outlier clusters to identify patterns in house prices. The study found that the house price growth patterns happened in the census year from 2006 to 2011 (7-144%), and reasonable growth occurred in the census year from 2011 to 2016 (7–48%), except in the suburb of Tottenham (144%). Six suburbs with significant price changes, particularly those closer to the CBD experienced growth rates exceeding > 150%. The findings demonstrated that three suburbs consistently exhibited high house prices, likely due to proximity to the city centre. In contrast, four suburbs have low prices, indicating slower growth in housing prices. Sunshine and Sunshine North suburbs have transitioned from LL house price outliers to HH house price outliers, suggesting a growing demand for those areas. These findings highlight how access to local amenities can impact the housing price at local level, providing valuable information for urban planning and policies that promote a balanced amenities and infrastructure development across a metropolitan city like Melbourne in Australia. CBD-Central Business District Cluster House Price LGA-Local Government Area Spatial Analysis Suburb 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. 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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-6689174","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":496452603,"identity":"6921d831-530e-4aa1-8c99-3f6c04c4a91e","order_by":0,"name":"Md Zillur Rahman","email":"","orcid":"","institution":"Central Queensland University","correspondingAuthor":false,"prefix":"","firstName":"Md","middleName":"Zillur","lastName":"Rahman","suffix":""},{"id":496452604,"identity":"0e68880f-fe35-4265-90cd-3a0831201db2","order_by":1,"name":"Yogi Vidyattama","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Yogi","middleName":"","lastName":"Vidyattama","suffix":""},{"id":496452605,"identity":"e4d2daca-fff3-4ddd-95ca-fe5e8f745f69","order_by":2,"name":"Delwar Akbar","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA0UlEQVRIiWNgGAWjYDCCAwzMzEBKDsJjI0GLMelaEhuI1sJ3gPmxcUHNvfT+9hwDhg9lhxn4ZyTg1yJ5gM04ecax4twZZ94YMM44d5hB4gYBLQYHGIwP87Al5G6QyDFg5m07zMBAWAv758M8/xLSDUBa/gK1yBPWwmOczNuWkADWwgjUYkBIi+RhnmLjmX0JhjPOPCs42HMuncfwzAP8WviOt2+WLviWIM/fnrzxwY8yazm54wRsYWCGsxKAccTAwENAPQogZPgoGAWjYBSMWAAAojdCF/aqY1sAAAAASUVORK5CYII=","orcid":"","institution":"Central Queensland University","correspondingAuthor":true,"prefix":"","firstName":"Delwar","middleName":"","lastName":"Akbar","suffix":""},{"id":496452606,"identity":"b496c2a1-b554-448b-b3b0-cfebb3f30290","order_by":3,"name":"John Rolfe","email":"","orcid":"","institution":"Central Queensland University","correspondingAuthor":false,"prefix":"","firstName":"John","middleName":"","lastName":"Rolfe","suffix":""}],"badges":[],"createdAt":"2025-05-18 00:08:06","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6689174/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6689174/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":96244394,"identity":"2cb20bf4-bd65-4ee3-9f29-b8fe91a52fa9","added_by":"auto","created_at":"2025-11-19 07:18:21","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":3536555,"visible":true,"origin":"","legend":"","description":"","filename":"Paper2PhDThesisMZManuscriptHouseprice1725V1.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6689174/v1_covered_a6b017ad-d8a0-40ce-b88c-60ae50849503.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"\u003cp\u003eSpatial Analysis of House Price Distribution and Growth in Metropolitan Cities – a Case Study of Melbourne, Australia\u003c/p\u003e","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":"CBD-Central Business District, Cluster, House Price, LGA-Local Government Area, Spatial Analysis, Suburb","lastPublishedDoi":"10.21203/rs.3.rs-6689174/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6689174/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eUrban local amenities significantly influence house price distribution and growth among the suburbs in metropolitan cities in Australia and in many developed nations. Over the past two decades, Australian metropolitan regions have seen house prices rise by as much as 120%, with notable variations across suburbs. Melbourne. Therefore, this study aims to examine the variations in house price distribution and growth from 2006 to 2016 among the 43 suburbs to understand the impact of urban local amenities. This study used GIS-based statistical methods; in particular, Local Moran\u0026rsquo;s \u003cem\u003eI\u003c/em\u003e reveals spatial outlier clusters to identify patterns in house prices. The study found that the house price growth patterns happened in the census year from 2006 to 2011 (7-144%), and reasonable growth occurred in the census year from 2011 to 2016 (7\u0026ndash;48%), except in the suburb of Tottenham (144%). Six suburbs with significant price changes, particularly those closer to the CBD experienced growth rates exceeding\u0026thinsp;\u0026gt;\u0026thinsp;150%. 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