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Leisure Tourism

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Abstract

Based on user-generated content from a social media website, this study investigated the impact of a popular film in China-Lost in Thailand-on tourist behavior at the destination. The authors analyzed tourist volumes and conducted social network analysis and content analysis to explore the...

Author(s)
Du YingYing; Li JunYi; Pan Bing; Zhang YanYan
Publisher
Sage Publications, Thousand Oaks, USA
Citation
Journal of Vacation Marketing, 2020, 26, 3, pp 365-377
Abstract

The contributions by China-based authors to the burgeoning Chinese language tourism literature have been accompanied by the growing and well documented appearance in English-language journals by Chinese authors from both within and outside the country. However, there has been adequate...

Author(s)
Köseoglu, M. A.; Xiao HongGen; King, B.; Ferreira, M. P.
Publisher
Routledge, Philadelphia, USA
Citation
Journal of China Tourism Research, 2020, 16, 3, pp 346-367
Abstract

This study analyzes the stakeholder networks that have developed in the medical tourism industry centered around South Korea. The network that 14 leading Korean medical tourism stakeholders have with China and the United States are investigated considering General Agreement on Trade in Services...

Author(s)
Cho, H. J.; Lee, T. J.
Publisher
Wiley, Chichester, UK
Citation
International Journal of Tourism Research, 2020, 22, 4, pp 416-424
Abstract

Social Network Analysis (SNA) has been introduced into tourism and hospitality research. However, little research has specifically addressed the structural pattern of tourist flow network. Chinese travelers to Japan keep increasing and become the largest market for Japan's inbound tourism. In order ...

Author(s)
Zeng BinDan
Publisher
Routledge, Abingdon, UK
Citation
Tourism Geographies, 2018, 20, 5, pp 810-832
Abstract

To explore popularly visited tourist locations, travel movement patterns, and movement points, this study collected samples of 321 Chinese tourists and 337 Japanese tourists who were visiting major tourist destinations in Seoul and its vicinity in South Korea. Results of analyzing movement patterns ...

Author(s)
Han HagChin; Kim SeongSeop; Otoo, F. E.
Publisher
Routledge, Abingdon, UK
Citation
Asia Pacific Journal of Tourism Research, 2018, 23, 8, pp 806-822
Abstract

This paper adopts accessibility index and the social network analysis to conduct a quantitative research on the traffic accessibility of Xi'an scenic spots. The main results are as follows: (1) Compared with the normal traffic tourism traffic has its own specificity, which can not be simply...

Author(s)
Wu Pan; Wu JinFeng; Zhou FangRu; Li JiaLi
Publisher
Zhejiang University Press, Hangzhou, China
Citation
Journal of Zhejiang University (Science Edition), 2016, 43, 3, pp 345-356
Abstract

Currently, independent travelling has become one of the global main ways to travel. By using the social network analysis and method of cartographic representation, this study was designed to identify the geographical distribution and network structure characteristics of inbound independent foreign...

Author(s)
Yang XinJu; Wu JinFeng; Tang Lan; Wang JinYing
Publisher
Tourism College of Beijing Union University, Beijing, China
Citation
Tourism Tribune, 2014, 29, 5, pp 87-96

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