Collaborative decision making for localized emergency response in major railroad projects

Collaborative decision making for localized emergency response in major railroad projects | 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 Collaborative decision making for localized emergency response in major railroad projects Yuanyuan Lei, Jingxiao Zhang, Ruixue Zhang, Lean Yu, Pablo Ballesteros-pérez, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5387383/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 21 Jul, 2025 Read the published version in Scientific Reports → Version 1 posted 13 You are reading this latest preprint version Abstract This paper investigates major railroad projects' emergency response decision-making process, considering timeliness, cost-effectiveness, and public involvement. It explores the optimal collaborative strategy among local governments, enterprises, and the public during construction. The study introduces an innovative tripartite collaborative decision-making system using an asymmetric evolutionary game and dynamic simulation methods. The findings indicate a stable equilibrium in emergency response decision-making is achieved under scenarios prioritizing public engagement. The subsidy strategy of local governments significantly influences the strategic choices of all agents, highlighting the importance of mutual collaboration among local governments, enterprises, and the public. This study underscores the value of public participation and multi-agent collaboration in addressing complex systemic issues. This study provides crucial insights for guiding localized emergency response strategies, enhancing decision-making collaboration, optimizing resources, improving emergency response efficiency, and informing policy development in major railroad projects. Earth and environmental sciences/Environmental social sciences Earth and environmental sciences/Natural hazards Physical sciences/Engineering Evolutionary game Major railroad projects Localized emergency response Multi-agent decision Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 21 Jul, 2025 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Revision requested 30 Apr, 2025 Reviews received at journal 29 Apr, 2025 Reviewers agreed at journal 19 Apr, 2025 Reviewers agreed at journal 19 Apr, 2025 Reviews received at journal 18 Apr, 2025 Reviews received at journal 07 Apr, 2025 Reviews received at journal 03 Apr, 2025 Reviewers agreed at journal 03 Apr, 2025 Reviewers agreed at journal 01 Apr, 2025 Reviewers agreed at journal 01 Apr, 2025 Reviewers invited by journal 01 Apr, 2025 Submission checks completed at journal 30 Mar, 2025 First submitted to journal 27 Mar, 2025 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-5387383","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":436729647,"identity":"6487765a-42a0-418d-8dff-ccc4153c189e","order_by":0,"name":"Yuanyuan Lei","email":"","orcid":"","institution":"Chang’an University","correspondingAuthor":false,"prefix":"","firstName":"Yuanyuan","middleName":"","lastName":"Lei","suffix":""},{"id":436729648,"identity":"2b2bab5a-b65e-4611-9557-85ded61d696e","order_by":1,"name":"Jingxiao 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