Coupling and decoupling of Man and Built environment under disaster disturbance

Coupling and decoupling of Man and Built environment under disaster disturbance | 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 Article Coupling and decoupling of Man and Built environment under disaster disturbance Xiyang Wu, Peng Chen This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6132990/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 17 Nov, 2025 Read the published version in Scientific Reports → Version 1 posted 10 You are reading this latest preprint version Abstract Based on rainstorms and flood disasters, this study discusses the coupling coordination degree and decoupling between people and the built environment. Combined with the coupling coordination degree model and Tapio decoupling model, the coupling situation of sixteen prefecture-level cities in Anhui Province from 2009 to 2020 was analyzed. The stochastic forest method combined with the recursive feature elimination method is used to identify the important driving factors, and the response condition and response threshold of coupling coordination degree to these driving factors are determined by constraint line extraction and elastic analysis. The results show that the coupling coordination degree of sixteen prefecture-level cities is generally on the rise, and in most years, the decoupling types of dual systems between people and built environment show different coupling strengths. Taking the decoupling index DI = 0. 8 and DI = 1. 2 as classification thresholds, most of the research samples show development decoupling type, and only a few cities show recession decoupling type in a few years, which is basically consistent with the changing trend of coupling coordination degree. GDP, urbanization rate, population with a college education or above per 100,000 people, economic losses caused by floods, the population affected by floods, length of drainage pipes, the registered unemployment rate in cities and towns, and the number of medical institutions are important driving factors influencing the change of coupling coordination degree. This study provides important insights for further understanding the relationship between people and the built environment under the background of rainstorms and flood disasters and also provides useful reference and guidance for research and practice in related fields. Earth and environmental sciences/Environmental sciences Earth and environmental sciences/Natural hazards coupling coordination degree of rainstorm and flood decoupling driving factor analysis threshold analysis Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 17 Nov, 2025 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Revision requested 22 Jul, 2025 Reviews received at journal 21 Jul, 2025 Reviewers agreed at journal 10 Jul, 2025 Reviews received at journal 23 Jun, 2025 Reviewers agreed at journal 13 Jun, 2025 Reviewers invited by journal 24 Mar, 2025 Editor assigned by journal 24 Mar, 2025 Editor invited by journal 07 Mar, 2025 Submission checks completed at journal 06 Mar, 2025 First submitted to journal 01 Mar, 2025 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. 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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-6132990","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":425707801,"identity":"bb95ef5a-ca5f-4b26-8ee2-f157bc26cda2","order_by":0,"name":"Xiyang Wu","email":"","orcid":"","institution":"Jilin Normal University","correspondingAuthor":false,"prefix":"","firstName":"Xiyang","middleName":"","lastName":"Wu","suffix":""},{"id":425707803,"identity":"47e46ca6-e0e9-4db8-8e16-2b3c6c1eff75","order_by":1,"name":"Peng Chen","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAt0lEQVRIiWNgGAWjYFACxoYDHyok5NjY2w8Qq4W58eCMMzbGfDxnEojVwt58mLctLXGehIMBcRrMpRsbDvC2HU5vk2BIYPhRsY2wFss5BxsOSJw7nNsm3XiAsefMbcJaDG4kNhwwKANqkTmQwMzYRqyWBLbD6WwSCQYkaDnQlpZAvBaQXw42nLExbAMG8kGi/GIu3f74858KCXn59vaDD35UEOMwCSTOAcLq0bWMglEwCkbBKMAKAPD9RRTDE+i5AAAAAElFTkSuQmCC","orcid":"","institution":"Jilin Normal University","correspondingAuthor":true,"prefix":"","firstName":"Peng","middleName":"","lastName":"Chen","suffix":""}],"badges":[],"createdAt":"2025-03-01 06:53:25","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6132990/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6132990/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1038/s41598-025-23835-w","type":"published","date":"2025-11-17T15:57:48+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":96650124,"identity":"3e5ae5e1-e7a0-40a5-830a-80cde98b32fc","added_by":"auto","created_at":"2025-11-24 16:08:22","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":940580,"visible":true,"origin":"","legend":"","description":"","filename":"manuscriptrevised.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6132990/v1_covered_11c0d032-783e-4e75-8bb3-a7465d49a627.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Coupling and decoupling of Man and Built environment under disaster disturbance","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"coupling coordination, degree of rainstorm and flood, decoupling, driving factor analysis, threshold analysis","lastPublishedDoi":"10.21203/rs.3.rs-6132990/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6132990/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eBased on rainstorms and flood disasters, this study discusses the coupling coordination degree and decoupling between people and the built environment. Combined with the coupling coordination degree model and Tapio decoupling model, the coupling situation of sixteen prefecture-level cities in Anhui Province from 2009 to 2020 was analyzed. The stochastic forest method combined with the recursive feature elimination method is used to identify the important driving factors, and the response condition and response threshold of coupling coordination degree to these driving factors are determined by constraint line extraction and elastic analysis. The results show that the coupling coordination degree of sixteen prefecture-level cities is generally on the rise, and in most years, the decoupling types of dual systems between people and built environment show different coupling strengths. 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