Enhancing Radiological Emergency Response through Agent-Based Model Case 2: Time Required for Staff Assemble

Enhancing Radiological Emergency Response through Agent-Based Model Case 2: Time Required for Staff Assemble | 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 Enhancing Radiological Emergency Response through Agent-Based Model Case 2: Time Required for Staff Assemble Geon Kim, Jinkyun Park, Gyunyoung Heo This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4326898/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 24 Jul, 2024 Read the published version in Korean Journal of Chemical Engineering → Version 1 posted 5 You are reading this latest preprint version Abstract As society becomes more complex, the importance of quick and effective emergency response systems gets more emphasized. This paper introduces a way to reduce the time it takes for emergency staff assembly to be handled during radioactive accidents, which is one of significant factors to manage early-stage situations. By using a type of computer modeling called agent-based modeling (ABM) on the NetLogo software, we examine how emergency responses are carried out, focusing on how emergency staff assembly workers are sent out and how they work together in a simulated setting. By integrating traffic and path-finding models, along with real-world GIS (Geographic Information System) data, our methodology allows for more realistic evaluation of response times under various scenarios, including harsh weather conditions (e.g., Heavy snow) and infrastructural disruptions (e.g., Earthquake). The findings reveal significant variability in emergency staff assembly times, underscored by the impact of environmental factors. This research not only contributes to the understanding of emergency response mechanisms but also provides a practical framework for improving the efficacy of disaster management systems, thereby enhancing public safety and resilience against future radiological events. Emergency response Agent-based model Emergency staff assembly time Real-world tuning Full Text Cite Share Download PDF Status: Published Journal Publication published 24 Jul, 2024 Read the published version in Korean Journal of Chemical Engineering → Version 1 posted Editorial decision: Minor Revisions Needed 06 Jun, 2024 Reviewers agreed at journal 30 Apr, 2024 Reviewers invited by journal 30 Apr, 2024 Editor assigned by journal 29 Apr, 2024 First submitted to journal 25 Apr, 2024 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. 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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-4326898","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":297041432,"identity":"c9bc9b52-7dd5-4f3c-af6c-9d85bfb06129","order_by":0,"name":"Geon Kim","email":"","orcid":"","institution":"Kyung Hee University","correspondingAuthor":false,"prefix":"","firstName":"Geon","middleName":"","lastName":"Kim","suffix":""},{"id":297041433,"identity":"a916a23d-ad3b-4726-9380-7a0f825d4c09","order_by":1,"name":"Jinkyun Park","email":"","orcid":"","institution":"Korea Atomic Energy Research Institute","correspondingAuthor":false,"prefix":"","firstName":"Jinkyun","middleName":"","lastName":"Park","suffix":""},{"id":297041434,"identity":"35d1edb1-0393-403b-987d-67dc121ca823","order_by":2,"name":"Gyunyoung Heo","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAsElEQVRIiWNgGAWjYDACCSD+cOAAmM3YQKwWxhkka2HmIUmLfHTzwcc2Z+4kNrAffsA4cw8RWgzvHEs2zrnxLLGBJ82AccMzYrTMyDGTzvlwOLGBIYeB8cEBorTkf5O2AGnhf0OkFnmJHDZphhtALRJAWzYQo8VAIs3YsOfMYeM2iWcGB2cQZcuM5IcPfhw7LNvPn/zwYQ9RtsAUsQExMRqAtjQQpWwUjIJRMApGNAAAaLQ+esNZSE0AAAAASUVORK5CYII=","orcid":"https://orcid.org/0000-0003-1984-1005","institution":"Kyung Hee University","correspondingAuthor":true,"prefix":"","firstName":"Gyunyoung","middleName":"","lastName":"Heo","suffix":""}],"badges":[],"createdAt":"2024-04-26 03:18:57","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4326898/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4326898/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s11814-024-00228-9","type":"published","date":"2024-07-24T16:16:08+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":61596365,"identity":"1131e5e6-1b36-4b6e-9294-417a50564416","added_by":"auto","created_at":"2024-08-01 17:26:50","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1097718,"visible":true,"origin":"","legend":"","description":"","filename":"Case2TimeRequiredforStaffAssemble.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4326898/v1_covered_ae9427bd-1d71-4145-b9f9-155b9e02bd8c.pdf"}],"financialInterests":"","formattedTitle":"Enhancing Radiological Emergency Response through Agent-Based Model Case 2: Time Required for Staff Assemble","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":"korean-journal-of-chemical-engineering","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"kjce","sideBox":"Learn more about [Korean Journal of Chemical Engineering](http://link.springer.com/journal/11814)","snPcode":"11814","submissionUrl":"https://www.editorialmanager.com/kjce/default2.aspx","title":"Korean Journal of Chemical Engineering","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Subscription","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Emergency response, Agent-based model, Emergency staff assembly time, Real-world tuning","lastPublishedDoi":"10.21203/rs.3.rs-4326898/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4326898/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"As society becomes more complex, the importance of quick and effective emergency response systems gets more emphasized. 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