Tourist Gender Differences Through Lens of Social Sensing

Abstract

Based on the theory of social sensing, this article takes research on the behavior and perception of tourists in scenic spots of Jiuzhai Valley Nation Park. From API interface, text and geographic information of Jiuzhai Valley National Park Weibo check-in tourists are collected and analyzed. Through LDA modeling of sample text, a 20-topic-model is constructed and real-time tourist perception could be obtained. Different topics reveal various dimensions of destination image. Results of topic clustering could show otherness between genders. Male tourists tend to focus more on objective elements of tourism experience like itinerary and attractions; meanwhile female tourists express more concern and emotional exposure on topics of self-feeling, such as admiration of Jiuzhai Valley scene. Spatial autocorrelation and cluster analysis are applied to classify spatial heterogeneity reflected from tourist perception. Finally advices on management and tourist experience improvement are put forward.