Analysis of the rainfall variability and the correlation with traffic accidents: A case study in Sydney, New South Wales

Analysis of the rainfall variability and the correlation with traffic accidents: A case study in Sydney, New South Wales | 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 Case Report Analysis of the rainfall variability and the correlation with traffic accidents: A case study in Sydney, New South Wales Quoc Huy Luu, Faisal Ahammed, Soheil Aber This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6468712/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 Extreme weather has been one of the massive concerns for traffic management in recent years. Many studies identified that the reason for an increase in traffic crashes is related to weather conditions, especially raining and the evolving trends in meteorological data in Australia. This research aimed to explore the variability of rainfall data over time and the association between the number of crashes (weather-related conditions) and rainfall data. The Annual Daily Maximum Rainfall (ADMR) over 40 years and Maximum monthly Rainfall (MR) over 5 years (2018–2022) data was collected from two stations near the location where traffic accidents mostly occurred in Sydney. The number of monthly accidents caused by raining (NOA) was also collected from 2018 to 2022 in Sydney. Firstly, two non-parametric tests including Mann-Whitney and Kruskal-Wallis were performed to check the hypothesis analysis. Next, correlations, regression and also multivariate tests were applied to investigate the correlation between these variables. It was found that the ADMR data in the two stations did not vary over 40 years from 1984 in Sydney. Nevertheless, there was a strong relationship between the number of monthly crashes and the maximum monthly rainfall data. As a result, it it relatively feasible to use the MR data to predict NOA data in certain years. Policymakers and researchers may use these tests for safety projections and extreme rainfall predictions in any location across Sydney. Rainfall Mann-Whitney Kruskal-Wallis correlation regression traffic accidents Full Text Additional Declarations The authors declare no competing interests. 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-6468712","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Case Report","associatedPublications":[],"authors":[{"id":466216775,"identity":"ecddcde5-aa63-4de7-85eb-126aea879890","order_by":0,"name":"Quoc Huy Luu","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA9UlEQVRIiWNgGAWjYJACZiCWAeLEBx8qbIA0Y+MBYrTwAPFjwxln0kBaGojVwvhMmrftMFgErxa+G8kHPxe2HeYxuJGcANRy3m5t+2GgLTU20bi0SN5IS5aeCdaSlmA459zt5G1nEoFajqXlNuDQYnAjx4yZF6wlJyHhTdntZLMDQC2MDYeJ0ZL/4QAP27lks/MPidaSkNjI03bAzuwGAVskzzxLluY5l84jeeZBMuOMM8kJZjeAtiTg8QvfcWCI8ZRZy/EdT0j/8aHCzt7sfPrDBx9qbHBqgUZBM5yfCFaZgEs5QksdnG+PT/EoGAWjYBSMTAAA1GNqqoa9GjYAAAAASUVORK5CYII=","orcid":"","institution":"UniSA STEM, University of South Australia, Mawson Lakes, SA 5095","correspondingAuthor":true,"prefix":"","firstName":"Quoc","middleName":"Huy","lastName":"Luu","suffix":""},{"id":466216776,"identity":"2d80fce6-ecd2-4f50-80f5-f186243b1824","order_by":1,"name":"Faisal Ahammed","email":"","orcid":"","institution":"UniSA STEM, University of South Australia, Mawson Lakes, SA 5095","correspondingAuthor":false,"prefix":"","firstName":"Faisal","middleName":"","lastName":"Ahammed","suffix":""},{"id":466216777,"identity":"6f2afc1a-c50f-472a-ab50-ebd5acb5106b","order_by":2,"name":"Soheil Aber","email":"","orcid":"","institution":"UniSA STEM, University of South Australia, Mawson Lakes, SA 5095","correspondingAuthor":false,"prefix":"","firstName":"Soheil","middleName":"","lastName":"Aber","suffix":""}],"badges":[],"createdAt":"2025-04-17 06:47:33","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-6468712/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6468712/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":83901043,"identity":"edf9239f-f429-4655-b459-05442c6d7f55","added_by":"auto","created_at":"2025-06-04 09:26:39","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1229537,"visible":true,"origin":"","legend":"","description":"","filename":"AnalysisoftherainfallvariabilityandthecorrelationwithtrafficaccidentsAcasestudyinSydneyNewSouthWalesQuocHuyLuu.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6468712/v1_covered_fb079ffc-95c4-4029-b2df-52ef72efbf32.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003eAnalysis of the rainfall variability and the correlation with traffic accidents: A case study in Sydney, New South Wales\u003c/p\u003e","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"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":"Rainfall, Mann-Whitney, Kruskal-Wallis, correlation, regression, traffic accidents","lastPublishedDoi":"10.21203/rs.3.rs-6468712/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6468712/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eExtreme weather has been one of the massive concerns for traffic management in recent years. 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