Cycling in Tibet: An analysis of tourists’ spatiotemporal behavior and infrastructure

Mou, Naixia; Liu, Zhiwen; Zheng, Yunhao; Makkonen, Teemu; Yang, Tengfei; Zhang, Lingxian

doi:10.1016/j.tourman.2021.104418

Cited by 29 publications

(13 citation statements)

References 55 publications

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“…At the same time, we found that tourists were mostly concentrated near the Jiefangbei and Guanyin Bridge. Considering that these two areas have perfect infrastructure and service facilities [8] , they are located in the commercial and trade center area of Chongqing.…”

Section: Fig 2 Restaurant Clustering Resultsmentioning

confidence: 99%

Use Online Data to Explore the Factors That Influence Foodie Tourists’ Dining

Bian¹,

Zhang²,

Ma³

2023

Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqi

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Food, as part of tourism, attracts a large number of foodie tourists. Tourism researchers analyzed the factors influencing tourists' dining choices by studying the spatial distribution characteristics and emotional characteristics of tourists. This can provide a planning basis for the development of food and beverage in tourist destinations. This paper uses Qunar's tourist restaurant review data and food travel diaries, HDBSCAN algorithm, TF-IDF algorithm and Baidu AI open platform to obtain the dining space characteristics and emotional expression of food tourists, and obtains the following conclusions: (1) Food tourists prefer to eat nearby during travel, and the restaurants they choose are mostly concentrated in the main urban area; (2) Tourists will reduce their demand for the restaurant environment due to travel behavior, and the overall evaluation of the restaurant will be more affected by the taste of the dishes and the service of the restaurant; (3) Foodie tourists who come to Chongqing not only pay attention to the food and drink of Chongqing, but also pay attention to the local traditional culture. This has led Chongqing's tourism management department to formulate its own representative food tourism publicity according to the characteristics of the city.

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Section: Fig 2 Restaurant Clustering Resultsmentioning

confidence: 99%

Use Online Data to Explore the Factors That Influence Foodie Tourists’ Dining

Bian¹,

Zhang²,

Ma³

2023

Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqi

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“…Finally, the travel behavior of tourists is not only characterized by stages (before, during, and after the trip), but also exhibits a hierarchical structure on the spatiotemporal scale (Mou et al, 2022). Discussing the hierarchic conversational topics based on different travel stages may provide more specific guidance for DOM.…”

Section: Discussionmentioning

confidence: 99%

Understanding tourists' travel behavior before, during, and after the trip with data from social media platforms

Mou

Wang

Zheng

et al. 2023

Transactions in GIS

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With the development of information and communication technology (ICT), an increasing number of tourists choose to record and share their travel experiences on social media platforms (e.g., Twitter, Ctrip, Weibo), providing a new perspective of "data-driven" tourism research (Du et al., 2017;Li et al., 2018). The travel behavior of tourists is complicated, and tourists' psychological states and emotional demands in the travel process are

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“…Therefore, for less developed areas, when faced with high‐value natural landscape resources, whether to develop them, in what way to develop them and to what scale and extent to develop them, it is necessary to pay attention to the economic benefits and social benefits while taking into full consideration the comprehensive trade‐off of ecological vulnerability and ecological effects. Unfortunately, existing research and related policies on the Tibetan Plateau either tend to uncontrollably promote the development of tourist facilities in places with high NLAV or implement the most stringent nature protection measures in areas with high ecological vulnerability (Hu et al, 2021; Mou et al, 2022). Clearly, decisions and actions that simply focus on one dimension are one‐sided.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Stress of spatial orientation of floating populations into Tibet on fragile ecosystem—Using geo‐tagged big data

Fan,

Liu,

Sun

et al. 2023

People and Nature

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Increased global floating populations is an important driver of local social‐ecological systems change, especially in ecologically fragile areas. However, the limitations of accurate data and specific methods have prevented the exploration of spatial visitation of floating populations and its risk of negative effects on fragile ecosystems. Here, we contribute to filling the knowledge gap in Tibet by adopting large‐scale geolocation data and incorporating factors such as landscape aesthetic value, ecological vulnerability and traffic accessibility. We found that 89.97% of the digital footprints of floating populations in Tibet have entered nature areas with low density of resident population, and 40.57% of them have entered ecologically fragile areas, leading to increased ecological risks. Nature‐based tourism is the main motive for floating populations to enter the ecologically fragile areas, accounting for 65.56%. The central government inadvertently exacerbated ecological risks by leading road construction, resulting in 64.62% of the ecological risks being located in areas with high traffic accessibility. The floating populations entering Tibet have the dual effects of promoting economic development and causing ecological risks. Therefore, it is urgent to put forward strategies to promote the sustainable development in Tibet based on the complex system of “nature‐based tourism–ecological protection–economic income–government behavior”. Read the free Plain Language Summary for this article on the Journal blog.

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Cycling in Tibet: An analysis of tourists’ spatiotemporal behavior and infrastructure

Cited by 29 publications

References 55 publications

Use Online Data to Explore the Factors That Influence Foodie Tourists’ Dining

Use Online Data to Explore the Factors That Influence Foodie Tourists’ Dining

Understanding tourists' travel behavior before, during, and after the trip with data from social media platforms

Stress of spatial orientation of floating populations into Tibet on fragile ecosystem—Using geo‐tagged big data

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