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

Lina Zhong, Sunny Sun, Rob Law and Liyu Yang
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Lina Zhong: Institute for Big Data Research in Tourism, School of Tourism Sciences, Beijing International Studies University, Beijing 100020, China
Sunny Sun: College of Asia Pacific Studies, Ritsumeikan Asia Pacific University, Beppu, Oita 874–8577, Japan
Rob Law: School of Hotel & Tourism Management, The Hong Kong Polytechnic University, Hong Kong, China
Liyu Yang: School of Tourism Sciences, Beijing International Studies University, Beijing 100020, China

Sustainability, 2020, vol. 12, issue 21, 1-13

Abstract: 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”.

Keywords: pattern; social network analysis; tourist flow; visualization; Tibet (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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