Carbon Peak Trends and Stepped Emission Reduction Paths in Yangtze River Economic Belt Cities

Carbon Peak Trends and Stepped Emission Reduction Paths in Yangtze River Economic Belt Cities | 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 Carbon Peak Trends and Stepped Emission Reduction Paths in Yangtze River Economic Belt Cities yihan xia, kaiwen ji, wenqiang wang, wenying tang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4501187/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 Cities not only contribute significantly to carbon emissions but also serve as key drivers for promoting carbon emission reduction. They play a pivotal role in demonstrating the achievement of 'carbon peak' and 'carbon neutrality' objectives. This paper utilizes DMSP/OLS stable nighttime lighting data from 2000 to 2013 and NPP/VIIRS nighttime lighting data from 2013 to 2019 to simulate the carbon emissions of cities within the Yangtze River Economic Belt. A BP neural network model is constructed and combined with scenario analysis and a geographically weighted regression model to systematically analyze the carbon emission characteristics, carbon peak trends, and graded carbon emission reduction paths of cities within the Yangtze River Economic Belt. This analysis considers various factors such as time series, geography, and per capita metrics. Subsequently, tailored graded carbon emission reduction paths and countermeasures are proposed for different types of cities experiencing various carbon peak scenarios, aiming to accelerate carbon emission reduction efforts within the Yangtze River Economic Belt. Carbon emissions Carbon neutrality Carbon peak Yangtze River Economic Belt Carbon emission reduction paths Geographically weighted regression modeling 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-4501187","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":315672719,"identity":"3e924151-1886-4167-acf1-ec358330a160","order_by":0,"name":"yihan xia","email":"","orcid":"","institution":"Jiangxi Normal University","correspondingAuthor":false,"prefix":"","firstName":"yihan","middleName":"","lastName":"xia","suffix":""},{"id":315672721,"identity":"c3248ea6-4e7d-4520-b369-2d2a5cc96c66","order_by":1,"name":"kaiwen ji","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA1klEQVRIiWNgGAWjYBACxmY2BoYEIIOfvfngg4SKGhK0SPYcSzZ4cOYYMfawQSiDGT5mkg9bmAlrYG5nS/zwsM0mz0CCLa0isYGNgb+9O4GQww5LJLalFZtLNx+7kbhDhkHizNkNBLSwN0gkbjucuHPOsbQbiWfYGAwkcglqaf6RuO1/4oYbOWYFiW3MxGhhOwa05QBYCwOxWtIsEv8lJ84EBrJEwpljPAT9Yth/zPjmjzN2if3AqPz4o6JGjr+9l4CWBjQBHrzKQUCeoIpRMApGwSgYBQDQ6E6vj5KGCQAAAABJRU5ErkJggg==","orcid":"","institution":"Jiangxi Normal University","correspondingAuthor":true,"prefix":"","firstName":"kaiwen","middleName":"","lastName":"ji","suffix":""},{"id":315672722,"identity":"9312166b-35a9-4511-abec-8715163899e8","order_by":2,"name":"wenqiang wang","email":"","orcid":"","institution":"Jiangxi Normal University","correspondingAuthor":false,"prefix":"","firstName":"wenqiang","middleName":"","lastName":"wang","suffix":""},{"id":315672723,"identity":"f33e0b50-b4a0-40a3-b26f-f3c4d9ab4a96","order_by":3,"name":"wenying tang","email":"","orcid":"","institution":"Jiangxi Normal University","correspondingAuthor":false,"prefix":"","firstName":"wenying","middleName":"","lastName":"tang","suffix":""}],"badges":[],"createdAt":"2024-05-30 07:42:39","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4501187/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4501187/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":59433124,"identity":"7a8ec7f5-f0fe-47b8-a9c3-73db3f3eb00d","added_by":"auto","created_at":"2024-07-01 18:42:42","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":793884,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4501187/v1_covered_4286aa51-b95c-415d-b0e3-852ba61b3f9e.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Carbon Peak Trends and Stepped Emission Reduction Paths in Yangtze River Economic Belt Cities","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":"Carbon emissions, Carbon neutrality, Carbon peak, Yangtze River Economic Belt, Carbon emission reduction paths, Geographically weighted regression modeling","lastPublishedDoi":"10.21203/rs.3.rs-4501187/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4501187/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eCities not only contribute significantly to carbon emissions but also serve as key drivers for promoting carbon emission reduction. 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