On the demand and behavior characteristics of “new tourists”— Content analysis based on Web Text
Journal Title: Smart Tourism - Year 2021, Vol 2, Issue 2
Abstract
With the development of information technology and the popularization of Internet applications, the proportion of tourists traveling with groups continues to decline, free travel has become the main form of travel, and the team of new tourists continues to grow and develop. This paper selects the travel notes of tourists as the research object, takes Xi’an as the tourism destination, collects samples, uses the content analysis method and applies the Rost CM6 software for in-depth analysis, obtains the tourism attractions and service facilities that tourists pay the most attention to, constructs the social semantic network of Xi’an tourism, and infers the needs and behavior characteristics of new tourists from the aspects of tourism viewing, tourism communication and tourists’ consumption, It also puts forward suggestions on the operation and marketing activities of tourism destinations and tourism enterprises.
Authors and Affiliations
Jun Liu, Suo Hao, Huizhan Wang
Keywords
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- EP ID EP709968
- DOI 10.54517/st.v2i2.1730
- Views 75
- Downloads 0
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