{"title":"A virtual reality-based experiment on tourists’ choice of evacuation route","authors":"Mingming Hu , Qingfeng Duan , Nan Chen , Bing Pan","doi":"10.1016/j.tourman.2025.105335","DOIUrl":null,"url":null,"abstract":"<div><div>With 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.</div></div>","PeriodicalId":48469,"journal":{"name":"Tourism Management","volume":"113 ","pages":"Article 105335"},"PeriodicalIF":14.5000,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tourism Management","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0261517725002055","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/10/30 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
With 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.
期刊介绍:
Tourism Management, the preeminent scholarly journal, concentrates on the comprehensive management aspects, encompassing planning and policy, within the realm of travel and tourism. Adopting an interdisciplinary perspective, the journal delves into international, national, and regional tourism, addressing various management challenges. Its content mirrors this integrative approach, featuring primary research articles, progress in tourism research, case studies, research notes, discussions on current issues, and book reviews. Emphasizing scholarly rigor, all published papers are expected to contribute to theoretical and/or methodological advancements while offering specific insights relevant to tourism management and policy.