A platform for research: civil engineering, architecture and urbanism
Investigate Tourist Behavior through Mobile Signal: Tourist Flow Pattern Exploration in Tibet
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”.
Investigate Tourist Behavior through Mobile Signal: Tourist Flow Pattern Exploration in Tibet
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”.
Investigate Tourist Behavior through Mobile Signal: Tourist Flow Pattern Exploration in Tibet
Lina Zhong (author) / Sunny Sun (author) / Rob Law (author) / Liyu Yang (author)
2020
Article (Journal)
Electronic Resource
Unknown
Metadata by DOAJ is licensed under CC BY-SA 1.0
Online Contents | 1994
|British Library Online Contents | 1996
|Spatial-Temporal Response Patterns of Tourist Flow under Real-Time Tourist Flow Diversion Scheme
DOAJ | 2020
|Becoming tourist: renegotiating the visual in the tourist experience
Online Contents | 2009
|