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How Can Big Data Support Smart Scenic Area Management? An Analysis of Travel Blogs on Huashan

Author

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  • Jun Shao

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China)

  • Xuesong Chang

    (Department of Tourism and Scenic Area Planning & Research, Beijing Tsinghua Tongheng Urban Planning & Design Institute, Beijing 100085, China)

  • Alastair M. Morrison

    (School of Hospitality and Tourism Management, Purdue University, West Lafayette, IN 47907, USA)

Abstract

Data from travel blogs represent important travel behavior and destination resource information. Moreover, technological innovations and increasing use of social media are providing accessible ‘big data’ at a low cost. Despite this, there is still limited big data analysis for scenic tourism areas. This research on Huashan (Mount Hua, China) data-mined user-contributed travel logs on the Mafengwo and Ctrip websites. Semantic analysis explored tourist movement patterns and preferences within the scenic area. GIS provided a visual distribution of blogger origins. The relationship between Huashan and adjoining tourism areas revealed a multi-destination pattern of tourist movements. Emotional analysis indicated tourist satisfaction levels, while content analysis explored more deeply into dissatisfying aspects of tourist experiences. The results should provide guidance for scenic areas in destination planning and design.

Suggested Citation

  • Jun Shao & Xuesong Chang & Alastair M. Morrison, 2017. "How Can Big Data Support Smart Scenic Area Management? An Analysis of Travel Blogs on Huashan," Sustainability, MDPI, vol. 9(12), pages 1-17, December.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:12:p:2291-:d:122320
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    References listed on IDEAS

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    Cited by:

    1. Jinah Park & Alastair M. Morrison & Bihu Wu & Yeung Kong, 2018. "Korean Golf Tourism in China: Place, Perception and Narratives," Sustainability, MDPI, vol. 10(4), pages 1-20, April.
    2. Shuang Song & Hidenori Kawamura & Junichi Uchida & Hajime Saito, 2019. "Determining tourist satisfaction from travel reviews," Information Technology & Tourism, Springer, vol. 21(3), pages 337-367, September.
    3. Angela Chantre-Astaiza & Laura Fuentes-Moraleda & Ana Muñoz-Mazón & Gustavo Ramirez-Gonzalez, 2019. "Science Mapping of Tourist Mobility 1980–2019. Technological Advancements in the Collection of the Data for Tourist Traceability," Sustainability, MDPI, vol. 11(17), pages 1-32, August.
    4. Fan Liu & Danmei Sun & Yanqin Zhang & Shaoping Hong & Minhua Wang & Jianwen Dong & Chen Yan & Qin Yang, 2022. "Tourist Landscape Preferences in a Historic Block Based on Spatiotemporal Big Data—A Case Study of Fuzhou, China," IJERPH, MDPI, vol. 20(1), pages 1-20, December.

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