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Analysis of High-Quality Tourism Destinations Based on Spatiotemporal Big Data—A Case Study of Urumqi

Author

Listed:
  • Bing Chen

    (Key Laboratory of Sustainable Development of Xinjiang’s Historical and Cultural Tourism, Xinjiang University, Urumqi 830049, China)

  • Yiting Zhu

    (Key Laboratory of Sustainable Development of Xinjiang’s Historical and Cultural Tourism, Xinjiang University, Urumqi 830049, China)

  • Xiong He

    (School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China)

  • Chunshan Zhou

    (Key Laboratory of Sustainable Development of Xinjiang’s Historical and Cultural Tourism, Xinjiang University, Urumqi 830049, China
    School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China)

Abstract

Although high-quality tourism destinations directly determine the tourism experiences of tourists and the management focuses of tourism management departments, existing studies have paid little attention to the relationship between tourism destinations of differing quality and tourist experiences. This study analyzed the spatiotemporal distribution of tourists and the quality of tourism destinations in Urumqi based on Tencent migration big data and Weibo sign-in big data and ultimately determined whether there are spatial correlations between the two. The results show that there are large differences in quality between different tourist destinations, and although the spatial and temporal distribution of tourists is not strongly correlated with the quality of tourist destinations, we can divide tourist destinations into four categories based on the correlations between the two (e.g., high-quality tourist destinations with a low number of tourists). The results of this study provide tourists with examples of high-quality tourist destinations, thus improving their holiday experiences, and they also provide a basis by which tourism management departments can manage and develop tourist destinations. The results of this study can also be extended to other regions and play a positive role in promoting the development of the tourism industry.

Suggested Citation

  • Bing Chen & Yiting Zhu & Xiong He & Chunshan Zhou, 2023. "Analysis of High-Quality Tourism Destinations Based on Spatiotemporal Big Data—A Case Study of Urumqi," Land, MDPI, vol. 12(7), pages 1-16, July.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:7:p:1425-:d:1195241
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    References listed on IDEAS

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    1. Hongsheng Zhang & Zhenfeng Cheng & Xin Chen, 2022. "How Destination Social Responsibility Affects Tourist Citizenship Behavior at Cultural Heritage Sites? Mediating Roles of Destination Reputation and Destination Identification," Sustainability, MDPI, vol. 14(11), pages 1-17, June.
    2. Juan Nicolau, 2010. "Culture-sensitive tourists are more price insensitive," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 34(3), pages 181-195, August.
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    Cited by:

    1. Jun Zhang & Runni Zhang & Qilun Li & Xue Zhang & Xiong He, 2023. "Spatial Sifferentiation and Differentiated Development Paths of Traditional Villages in Yunnan Province," Land, MDPI, vol. 12(9), pages 1-18, August.
    2. Efthymia Sarantakou, 2023. "Contemporary Challenges in Destination Planning: A Geographical Typology Approach," Geographies, MDPI, vol. 3(4), pages 1-22, October.

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