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Cluster Analysis of Risk Perception to Implement Tourist Health Safety in Vietnam

Bibliographic Data

ID21216370
AuthorsNinh Nguyen (0000-0001-6050-2633, Industrial University of Ho Chi Minh City), Ngoc Thanh Truong (0000-0002-6836-3030), Ninh Van Nguyen, Ngoc Thi Bich TRUONG
Year2024
Volume56
Issue4
Pages1533-1541
Publication date2024-12-31
Open AccessYes
TypeARTICLE
VenueGeoJournal of Tourism and Geosites (JOURNAL)
Journal identifiersISSN: 2065-0817 • E-ISSN: 2065-1198
PublisherAsociatia de Geografie, Turism si Sport (PUBLISHER)
DOI10.30892/gtg.56410-1324
OpenAlexW4403868467
LanguageEN

Perceived risk refers to tourists' objective assessment of the negative consequences associated with travel. The COVID-19 pandemic has significantly impacted all areas of human activity, influencing personal behavior and organizational practices. In post-COVID-19, travellers' perceptions of disease risk and behaviour have evolved. This study aimed to evaluate tourists' risk perceptions while travelling, categorizing them into distinct groups to identify differences among them. The research uses a mixed-method approach with validated surveys to measure travelers' risk perceptions via Likert scales. Data was collected from representative samples at destinations. K-means clustering identifies distinct segments, with the optimal number of clusters determined using the Elbow Method. Using cluster analysis, tourists were divided into three groups: Cluster 1 (32.18%), Cluster 2 (16.56%), and Cluster 3 (51.26%). The perceived risks were ranked in descending order as safety and hygiene risks, health risks, time risks, and emergency response support concerns. The analysis highlights that tourists prioritize safety, hygiene, health risks, and time risks when considering future travel, emphasizing the need for improved safety measures and effective tourism marketing strategies to restore traveler confidence. This study offers original insights through cluster analysis, showcasing the diverse risk perceptions among different social clusters and customer segmentation

Archaeology · Business · Geography · Perception · Tourism · Computer Science · Psychology · Supply Chain Resilience and Risk Management

Highly citedNo

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Open DOIOpen Access
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