Urban Accessibility and Socio-Economic Inequality: A Spatial Analysis of Istanbul Neighborhoods Using Ridge Regression

Urban Accessibility and Socio-Economic Inequality: A Spatial Analysis of Istanbul Neighborhoods Using Ridge Regression | 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 Urban Accessibility and Socio-Economic Inequality: A Spatial Analysis of Istanbul Neighborhoods Using Ridge Regression Murat Seker, Arif Saldanlı This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8742264/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 By studying 653 neighborhoods of more than 5000 inhabitants in Istanbul, we try to analyze urban accessibility parameters impact on the prices of housing sales and socio-economic status. The analysis was performed using 88 indicators taken from the 34-Minute Istanbul project data which was prepared by the Istanbul Metropolitan Municipality. It shows the services that people can reach within a 34-minute walking distance (round trip). In line with the literature, these indicators were grouped into 10 thematic categories, while the data was converted from a hexagon basis to the neighborhood level. They used the Ridge Regression method for the analysis of neighborhood data. Based on the findings obtained, it finds that high access in education, health, transportation and mobility categories have positive and significant relationship with housing selling price and socioeconomic status more specifically in the B section of Cuccurullo. Spatial clustering and service overlap limited the impact of the categories: basic needs and food retail, and economic and employment. The study, which finds that accessibility is an important determinant for combatting urban socio-economic inequalities, suggests the need to rethink spatial justice policies in Istanbul not solely in terms of transportation but also in terms of diversity and distribution of services. accessibility spatial inequality socio-economic status housing prices ridge regression Istanbul 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. 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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-8742264","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":589454656,"identity":"94cf78c4-1b13-4a0a-bdfa-e3dd76f09c84","order_by":0,"name":"Murat Seker","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA4ElEQVRIiWNgGAWjYHACZiC24YGyLIBUAlFa0ngY2MAsCYiWA4S1HGYgXotu/+HDBh/3nJeRn9/87HFhmwQDP3uOAfPHPbi1mN1IS06c8ew2j8ExNnPjmUAtkj1vDBgOPMOnhcf4MM8BoBY2BjNpXqAWgxs5QC14XGZ2/vznw38OnOORb2P/BtZiT1DLgRzmZKAKHoZjPFBbJAhpuZFmbNhzIBnol5wy6RnnJHgkzjwrOHAGr8MOP5b4ccDOXr75+DbpgjIbOf725I0PKvBowQDgZECKhlEwCkbBKBgFWAAAFy9Ounk5iswAAAAASUVORK5CYII=","orcid":"","institution":"Istanbul University","correspondingAuthor":true,"prefix":"","firstName":"Murat","middleName":"","lastName":"Seker","suffix":""},{"id":589454657,"identity":"482d26ba-0353-45c0-861e-74589af7f7f0","order_by":1,"name":"Arif Saldanlı","email":"","orcid":"","institution":"Istanbul University","correspondingAuthor":false,"prefix":"","firstName":"Arif","middleName":"","lastName":"Saldanlı","suffix":""}],"badges":[],"createdAt":"2026-01-30 14:40:05","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-8742264/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8742264/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":107878543,"identity":"31857c81-00b5-4af8-8003-aa5c607f6b73","added_by":"auto","created_at":"2026-04-27 08:21:31","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":660434,"visible":true,"origin":"","legend":"","description":"","filename":"UrbanAccessibilityandSocioEconomicInequalityASpatialAnalysisofIstanbulNeighborhoodsUsingRidgeRegression.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8742264/v1_covered_cc833248-cb8c-4d07-83b8-d8f1a5719e38.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Urban Accessibility and Socio-Economic Inequality: A Spatial Analysis of Istanbul Neighborhoods Using Ridge Regression","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":"accessibility, spatial inequality, socio-economic status, housing prices, ridge regression, Istanbul","lastPublishedDoi":"10.21203/rs.3.rs-8742264/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8742264/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eBy studying 653 neighborhoods of more than 5000 inhabitants in Istanbul, we try to analyze urban accessibility parameters impact on the prices of housing sales and socio-economic status. 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