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Article

Investigate Tourist Behavior through Mobile Signal: Tourist Flow Pattern Exploration in Tibet

by 1, 2,*, 3 and 4
1
Institute for Big Data Research in Tourism, School of Tourism Sciences, Beijing International Studies University, Beijing 100020, China
2
College of Asia Pacific Studies, Ritsumeikan Asia Pacific University, Beppu, Oita 874–8577, Japan
3
School of Hotel & Tourism Management, The Hong Kong Polytechnic University, Hong Kong, China
4
School of Tourism Sciences, Beijing International Studies University, Beijing 100020, China
*
Author to whom correspondence should be addressed.
Sustainability 2020, 12(21), 9125; https://doi.org/10.3390/su12219125
Received: 23 September 2020 / Revised: 29 October 2020 / Accepted: 30 October 2020 / Published: 3 November 2020
(This article belongs to the Special Issue SUMP for Cities’ Sustainable Development)
Identifying the tourist flow of a destination can promote the development of travel-related products and effective destination marketing. Nevertheless, tourist inflows and outflows have only received limited attention from previous studies. Hence, this study visualizes the tourist flow of Tibet through social network analysis to bridge the aforementioned gap. Findings show that the Lhasa prefecture is the transportation hub of Tibet. Tourist flow in the eastern part of Tibet is generally stronger than that in the western part. Moreover, the tourist flow pattern identified mainly includes “(diverse or balanced) diffusion from the main center”, “clustering to the main center”, and “diffusion from a clustered circle”. View Full-Text
Keywords: pattern; social network analysis; tourist flow; visualization; Tibet pattern; social network analysis; tourist flow; visualization; Tibet
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MDPI and ACS Style

Zhong, L.; Sun, S.; Law, R.; Yang, L. Investigate Tourist Behavior through Mobile Signal: Tourist Flow Pattern Exploration in Tibet. Sustainability 2020, 12, 9125. https://doi.org/10.3390/su12219125

AMA Style

Zhong L, Sun S, Law R, Yang L. Investigate Tourist Behavior through Mobile Signal: Tourist Flow Pattern Exploration in Tibet. Sustainability. 2020; 12(21):9125. https://doi.org/10.3390/su12219125

Chicago/Turabian Style

Zhong, Lina, Sunny Sun, Rob Law, and Liyu Yang. 2020. "Investigate Tourist Behavior through Mobile Signal: Tourist Flow Pattern Exploration in Tibet" Sustainability 12, no. 21: 9125. https://doi.org/10.3390/su12219125

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