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

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.

Spatial Sifferentiation and Differentiated Development Paths of Traditional Villages in Yunnan Province

“…With significant advantages in economic activities and resource allocation, a central city exerts a certain driving force on its peripheral cities and the entire regional economy. This effect is manifested as a greater degree of urbanization and more development opportunities as the distance from the central city decreases, as seen in the distribution of HH clustering in places like Dali and Lijiang [61]. However, previous studies have also found that the development brought about by the central city may have a certain impact on the preservation of traditional cultural heritage.…”

Exploring Tourists’ Behavioral Patterns in Bali’s Top-Rated Destinations: Perception and Mobility

“…The image holds a crucial position for destination marketers in distinguishing their destination within the context of the intense competition in the market [58]. Destination attributes summate to a brief description of a destination's fundamental characteristics, including the destination's image [59].…”

Identifying the Spatial Range of the Pearl River Delta Urban Agglomeration by Fusing Nighttime Light Data with Weibo Sign-In Data

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