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Social-aware visualized exploration of tourist behaviours


Li, M and Bao, Z and Song, L and Duh, H, Social-aware visualized exploration of tourist behaviours, Proceedings, 18-20 January 2016, Hong Kong, China, pp. 289-292. ISBN 978-1-4673-8796-5 (2016) [Non Refereed Conference Paper]

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DOI: doi:10.1109/BIGCOMP.2016.7425930


The popularity of social media has generated an abundance of publicly available data about tourist behaviour. We aim to exploit this to provide a snapshot of customized routes for pre-trip tourists and help the tourism industry understand the real behaviour of tourists for better policy making. Therefore, we propose an analytic framework that is able to automatically collect, clean and integrate all forms of tourists' activity data from various social media sites, and provides an interactive yet visualized analysis to facilitate users' exploration of underlying data. Specifically, it is able to (1) support multidimensional views of tourists' trajectory data, e.g. temporally, spatially, textually, etc; (2) support multi-granularity visualization where the trajectory of either a group of tourists or a single tourist can be efficiently retrieved.

Item Details

Item Type:Non Refereed Conference Paper
Keywords:travel industry, behavioural sciences computing, data visualisation, social networking, social media
Research Division:Information and Computing Sciences
Research Group:Distributed computing and systems software
Research Field:Networking and communications
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the information and computing sciences
UTAS Author:Duh, H (Professor Henry Duh)
ID Code:117134
Year Published:2016
Deposited By:Engineering
Deposited On:2017-05-31
Last Modified:2017-05-31

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