Public Service Facility Configuration of Agricultural Counties in the Central and Western Regions Based on the Improved Optimal Supply-Demand Accessibility Method

Public Service Facility Configuration of Agricultural Counties in the Central and Western Regions Based on the Improved Optimal Supply-Demand Accessibility Method | 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 Public Service Facility Configuration of Agricultural Counties in the Central and Western Regions Based on the Improved Optimal Supply-Demand Accessibility Method Jizhe Zhou, Weihan Wang, Yifan Liu, Mengting Cai, Quanhua Hou, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7247448/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 Influenced by Split Urbanization and Dependent Urban-rural Relations, agricultural counties in the central and western regions generally face issues such as imbalanced spatial distribution of public service facilities, declining service quality, and insufficient accessibility. This study takes Pucheng County in Weinan City as a case study and constructs a research framework of “demand analysis - accessibility measurement - allocation optimization”. First, the permanent population and its movement network are identified based on cell phone signaling data, and the complex network analysis method is used to determine the usage preference and actual demand. Secondly, the coverage and accessibility of public service facilities are quantitatively evaluated through the optimal supply-demand allocation model. Finally, considering factors such as supply-demand relationship, coverage rate, and accessibility within the county’s public service facilities, a systematic allocation optimization plan is proposed. The findings reveal: (1) According to the population flow characteristics, the administrative villages in Pucheng County are classified into high-inflow type (11 villages), inflow type (38 villages), balanced type (49 villages), outflow type (128 villages), and high-outflow type (129 villages), with corresponding supply adjustment coefficients of 1.58, 1.32, 1.03, 0.78, and 0.54, respectively. (2) Based on the 30-minute walking service radius, the optimized coverage rates for educational, medical, and elderly care facilities in the county improve from 71.44%, 54.75%, and 35.17–82.40%, 84.56%, and 79.13%, respectively. (3) For medical and elderly care facilities, an innovative allocation mode of “precise gap-filling + medical-care integration + mobile services” is proposed. This study not only provides practical guidance for the allocation of public service facilities in agricultural counties in the central and western regions, but also offers a theoretical basis for facility planning decisions in areas with frequent population flows and weak public services. Earth and environmental sciences/Environmental social sciences Social science/Social policy Agricultural Counties Complex Network Analysis Optimal Supply-demand Accessibility Method Public Service Facilities 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-7247448","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":524487359,"identity":"f97c1358-3c54-402e-8e2d-6d3f7ba4a316","order_by":0,"name":"Jizhe Zhou","email":"","orcid":"","institution":"Chang'an University","correspondingAuthor":false,"prefix":"","firstName":"Jizhe","middleName":"","lastName":"Zhou","suffix":""},{"id":524487360,"identity":"98333d79-a3df-4545-a346-178c75b0a8b3","order_by":1,"name":"Weihan Wang","email":"","orcid":"","institution":"Chang'an 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06:43:38","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2225778,"visible":true,"origin":"","legend":"","description":"","filename":"1.Manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7247448/v1_covered_0e5ed483-50f8-48ad-a8cc-4807b5885176.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Public Service Facility Configuration of Agricultural Counties in the Central and Western Regions Based on the Improved Optimal Supply-Demand Accessibility Method","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":"Agricultural Counties, Complex Network Analysis, Optimal Supply-demand Accessibility Method, Public Service Facilities","lastPublishedDoi":"10.21203/rs.3.rs-7247448/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7247448/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eInfluenced by Split Urbanization and Dependent Urban-rural Relations, agricultural counties in the central and western regions generally face issues such as imbalanced spatial distribution of public service facilities, declining service quality, and insufficient accessibility. This study takes Pucheng County in Weinan City as a case study and constructs a research framework of \u0026ldquo;demand analysis - accessibility measurement - allocation optimization\u0026rdquo;. First, the permanent population and its movement network are identified based on cell phone signaling data, and the complex network analysis method is used to determine the usage preference and actual demand. Secondly, the coverage and accessibility of public service facilities are quantitatively evaluated through the optimal supply-demand allocation model. Finally, considering factors such as supply-demand relationship, coverage rate, and accessibility within the county\u0026rsquo;s public service facilities, a systematic allocation optimization plan is proposed. The findings reveal: (1) According to the population flow characteristics, the administrative villages in Pucheng County are classified into high-inflow type (11 villages), inflow type (38 villages), balanced type (49 villages), outflow type (128 villages), and high-outflow type (129 villages), with corresponding supply adjustment coefficients of 1.58, 1.32, 1.03, 0.78, and 0.54, respectively. (2) Based on the 30-minute walking service radius, the optimized coverage rates for educational, medical, and elderly care facilities in the county improve from 71.44%, 54.75%, and 35.17\u0026ndash;82.40%, 84.56%, and 79.13%, respectively. (3) For medical and elderly care facilities, an innovative allocation mode of \u0026ldquo;precise gap-filling\u0026thinsp;+\u0026thinsp;medical-care integration\u0026thinsp;+\u0026thinsp;mobile services\u0026rdquo; is proposed. This study not only provides practical guidance for the allocation of public service facilities in agricultural counties in the central and western regions, but also offers a theoretical basis for facility planning decisions in areas with frequent population flows and weak public services.\u003c/p\u003e","manuscriptTitle":"Public Service Facility Configuration of Agricultural Counties in the Central and Western Regions Based on the Improved Optimal Supply-Demand Accessibility Method","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-10-06 23:02:30","doi":"10.21203/rs.3.rs-7247448/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","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}}],"origin":"","ownerIdentity":"1c2cd156-cfc0-4538-b3be-92b77d6abbe7","owner":[],"postedDate":"October 6th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":55748180,"name":"Earth and environmental sciences/Environmental social sciences"},{"id":55748181,"name":"Social science/Social policy"}],"tags":[],"updatedAt":"2026-04-08T06:42:51+00:00","versionOfRecord":[],"versionCreatedAt":"2025-10-06 23:02:30","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7247448","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7247448","identity":"rs-7247448","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}