Social-aware visualized exploration of tourist behaviours
Mingzhao Li, Zhifeng Bao, Liangjun Song, Henry Been‐Lirn Duh · 2016
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.