Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/117319
DC FieldValueLanguage
dc.contributorSchool of Hotel and Tourism Managementen_US
dc.creatorHu, Men_US
dc.creatorDuan, Qen_US
dc.creatorChen, Nen_US
dc.creatorPan, Ben_US
dc.date.accessioned2026-02-11T04:02:33Z-
dc.date.available2026-02-11T04:02:33Z-
dc.identifier.issn0261-5177en_US
dc.identifier.urihttp://hdl.handle.net/10397/117319-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.subjectCrowd densityen_US
dc.subjectDiscrete choice modelen_US
dc.subjectEmergency evacuation route choiceen_US
dc.subjectSocial cognitive theoryen_US
dc.subjectTourist attractionsen_US
dc.subjectVirtual reality (VR)en_US
dc.titleA virtual reality-based experiment on tourists’ choice of evacuation routeen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume113en_US
dc.identifier.doi10.1016/j.tourman.2025.105335en_US
dcterms.abstractWith continuously increasing tourism volume, overcrowded tourist attractions pose a great challenge for tourists during emergency evacuations. This study investigates the factors that influence tourists' choice of evacuation routes in emergency scenarios characterized by high uncertainty, particularly on the role of crowd density. By employing discrete choice experiments through virtual reality, we analyzed the effects of crowd density and its interaction with various route characteristics through a binomial logistic regression model. Our results demonstrate that crowd density nonlinearly impacts tourists' evacuation route choices. Additionally, factors such as emergency evacuation signage and route familiarity moderate the relationship between crowd density and evacuation route choice. These findings provide critical insights into tourists' decision-making processes during emergency evacuations, thereby contributing to the formulation of more effective emergency management strategies.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationTourism management, Apr. 2026, v. 113, 105335en_US
dcterms.isPartOfTourism managementen_US
dcterms.issued2026-04-
dc.identifier.scopus2-s2.0-105020946697-
dc.identifier.eissn1879-3193en_US
dc.identifier.artn105335en_US
dc.description.validate202602 bchyen_US
dc.description.oaNot applicableen_US
dc.identifier.SubFormIDG000897/2026-01-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis paper is supported by the National Natural Science Foundation of China (72474056) and Guangxi Zhuang Autonomous Region Major Talent Project - Bagui Young Elite Talent Project.en_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2029-04-30en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
Open Access Information
Status embargoed access
Embargo End Date 2029-04-30
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.