Relation Between Gender and Risk in Tourism: A Data-Driven Exploration of Destination Choice

Abstract

This study explores how gender influences risk perception and tourist destination choice by examining the academic literature from the Web of Science and Scopus databases spanning 1995 to 2022. Through bibliometric methods, this research uncovers patterns, leading themes, and gaps in integrating gender within tourism and risk perception studies, especially during periods of heightened global risk awareness. Using bibliometric analysis, with keywords, citations, and author networks in relevant publications, co-authorship and co-citation analyses were used to identify key contributors and thematic clusters. Data visualization through VOSviewer and SCIMAT provided insights into relational trends, while alternative metrics offered a broader perspective on research dissemination and relevance. Results indicate that gender is gradually being incorporated into research on risk and tourist destination choice but remains less central than risk perception and tourism. Research in this area tends to increase in response to global crises, such as the COVID–19 pandemic. This study examines English language publications from Web of Science and Scopus, potentially limiting the generalizability of findings to non-Western contexts. By examining temporal trends, influential authors, and alternative metrics, this analysis reveals new pathways for integrating gender more fully into tourism and risk research