Regret-based Multi-modal Traffic Assignment Considering Traveler Familiarity

Regret-based Multi-modal Traffic Assignment Considering Traveler Familiarity | 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 Regret-based Multi-modal Traffic Assignment Considering Traveler Familiarity Wenjun Hu, Bingda Zhang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8706053/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 To account for bounded rationality in traveler choice under uncertainty, this study develops a multimodal traffic assignment model grounded in regret theory. The model uniquely incorporates traveler path familiarity, capturing how regret intensity varies across different modes and user experiences. We formulate a random user equilibrium condition that considers heterogeneous familiarity levels from a regret-aversion perspective. An equivalent variational inequality (VI) formulation is proposed, and the existence of its solution is rigorously proven. Numerical results reveal that disparities in route familiarity, inter-modal interactions, and users' psychological aversion to regret significantly impact network equilibrium flow patterns and modal split. Comparative studies on the Sioux Falls network reveal that traditional models may overestimate private car shares by neglecting familiarity-induced regret aversion.The proposed model provides a more behaviorally realistic framework for traffic analysis and offers a robust theoretical basis for designing more targeted multimodal traffic management strategies. regret theory path familiarity multimodal traffic assignment stochastic user equilibrium variational inequality travel behavior 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. 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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-8706053","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":584991617,"identity":"a6653a32-5f57-4ae9-a1e4-7732561ed845","order_by":0,"name":"Wenjun Hu","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA80lEQVRIiWNgGAWjYBACAzDJw8DAB6IfMNjw8PM3EKmFDUQnMKTJSM44QIwWBriWwzYGDQn4tZhL5Bg+LpA5nMfG3mP4ILHtPI8BwwHGDx9zcGuxnJFjbDyD53AxG88ZY4PEtts85swNzJIzt+Fx2I3cbdI8PIcT2yTS0iRAWiwbDrAx8+LXsv03VEv6j8S2czwGBxIIatnGDNGSfIwhse0AEVrOvP8MdFh6YhvP4cMSCeeSeSRnHGzG75fjaYmfeXusE/vZGxs/fCizs+fnbz744SMeLWDA2ANjgGOHsYGAehD4AWP8IULxKBgFo2AUjDgAAJrMUULwdNq8AAAAAElFTkSuQmCC","orcid":"","institution":"Shanghai Zhongqiao Vocational and Technical University","correspondingAuthor":true,"prefix":"","firstName":"Wenjun","middleName":"","lastName":"Hu","suffix":""},{"id":584991618,"identity":"36b94119-d811-46ec-adf0-1b49d12baa9d","order_by":1,"name":"Bingda Zhang","email":"","orcid":"","institution":"Shanghai Zhongqiao Vocational and Technical University","correspondingAuthor":false,"prefix":"","firstName":"Bingda","middleName":"","lastName":"Zhang","suffix":""}],"badges":[],"createdAt":"2026-01-27 05:38:02","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-8706053/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8706053/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":103202607,"identity":"ab1a0929-c804-40b0-899e-69ee5c390b81","added_by":"auto","created_at":"2026-02-23 06:26:03","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":682652,"visible":true,"origin":"","legend":"","description":"","filename":"RegretbasedMultimodalTrafficAssignment.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8706053/v1_covered_99b28acc-cf1a-4b07-90f6-ec0245ad0d72.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Regret-based Multi-modal Traffic Assignment Considering Traveler Familiarity","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":"regret theory, path familiarity, multimodal traffic assignment, stochastic user equilibrium, variational inequality, travel behavior","lastPublishedDoi":"10.21203/rs.3.rs-8706053/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8706053/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eTo account for bounded rationality in traveler choice under uncertainty, this study develops a multimodal traffic assignment model grounded in regret theory. 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