Evaluation and Dynamic Evolution Analysis of Urban Infrastructure Resilience Based on the DPSIR Model

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Evaluation and Dynamic Evolution Analysis of Urban Infrastructure Resilience Based on the DPSIR Model | 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 Evaluation and Dynamic Evolution Analysis of Urban Infrastructure Resilience Based on the DPSIR Model GAO Jiong-rong, Chen Wei-gong This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7413145/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 infrastructure resilience is crucial for mitigating the impacts of escalating climate change and human-induced disturbances. This study proposes a comprehensive evaluation index system to assess urban infrastructure resilience and explore its spatial evolution patterns, grounded in the "Driving force-Pressure-State-Impact-Response" (DPSIR) model. Using panel data from 16 prefecture-level cities in Shandong Province,China during 2014–2023, we constructed an index system covering various aspects of infrastructure to characterize resilience levels at different stages when facing disturbances. The Dagum Gini coefficient and Markov chain were employed to analyze regional differences in resilience and their dynamic evolution characteristics. The results show that: ( 1 ) The comprehensive score of urban infrastructure resilience in Shandong Province fluctuated and increased year by year from 2014 to 2023, demonstrating a trend of "overall improvement with echelon differentiation." ( 2 ) Over the decade, inter-regional differences in urban infrastructure resilience contributed far more to the total differences than intra-regional differences and super-variable density. ( 3 ) The resilience level of urban infrastructure exhibits strong path dependence and high stability, with medium-high and high levels being more prone to stability. The evaluation model and results of this study provide effective recommendations for the construction of similar urban infrastructure in China. Urban infrastructure Resilience Driving force-Pressure-State-Impact-Response (DPSIR) model Dynamic evolution China 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-7413145","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":507707879,"identity":"83bac007-f955-4df7-b8af-e3a85fa7aafe","order_by":0,"name":"GAO Jiong-rong","email":"","orcid":"","institution":"Qingdao University of Technology","correspondingAuthor":false,"prefix":"","firstName":"GAO","middleName":"","lastName":"Jiong-rong","suffix":""},{"id":507707880,"identity":"d26e3dac-d158-43f0-acc2-80afd1c42be7","order_by":1,"name":"Chen Wei-gong","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA40lEQVRIiWNgGAWjYPACGzs2ZvYDBz4Y2NgRVMsDodKS+dh7Eh/OKEhLJlbLYcZ5PAeMjXk+HGJsIKTFnr3H+MWPCmZmNomENGkbgwPMDOyHj27AawvPGTPLnjNsfGwSicekcwzu8DHwpKXdwKtFIsfMgLeNB2JLjsEzZgYJHjOCWgz/tkkwtkkkmElbGBxmbCBCi/Fj3jYDxjaQ9xmI0nLmWBmzzJmEZDZQIPcYpCWzEfILe3vz5o9vKv7byTcDo/LHHxs7fvbDx/BqAQI2CVQuAeUgwPyBCEWjYBSMglEwkgEA1DJFW5J3wKgAAAAASUVORK5CYII=","orcid":"","institution":"Qingdao University of Technology","correspondingAuthor":true,"prefix":"","firstName":"Chen","middleName":"","lastName":"Wei-gong","suffix":""}],"badges":[],"createdAt":"2025-08-20 04:08:10","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7413145/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7413145/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":105882752,"identity":"1cb03333-b245-448e-805c-6f95ce0a94df","added_by":"auto","created_at":"2026-04-01 06:58:17","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":903621,"visible":true,"origin":"","legend":"","description":"","filename":"EvaluationandDynamicEvolutionAnalysisofUrbanInfrastructureResilience.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7413145/v1_covered_42f00ca3-6cdf-47c1-b0ae-db3acdd6cf86.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Evaluation and Dynamic Evolution Analysis of Urban Infrastructure Resilience Based on the DPSIR Model","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":"Urban infrastructure, Resilience, Driving force-Pressure-State-Impact-Response (DPSIR) model, Dynamic evolution, China","lastPublishedDoi":"10.21203/rs.3.rs-7413145/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7413145/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eUrban infrastructure resilience is crucial for mitigating the impacts of escalating climate change and human-induced disturbances. This study proposes a comprehensive evaluation index system to assess urban infrastructure resilience and explore its spatial evolution patterns, grounded in the \"Driving force-Pressure-State-Impact-Response\" (DPSIR) model. Using panel data from 16 prefecture-level cities in Shandong Province,China during 2014\u0026ndash;2023, we constructed an index system covering various aspects of infrastructure to characterize resilience levels at different stages when facing disturbances. The Dagum Gini coefficient and Markov chain were employed to analyze regional differences in resilience and their dynamic evolution characteristics. 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