Abstract
Travel party size has been shown to affect tourists' behavior. However, due to a previous lack of big-data analytical techniques, there remains limited research on the effect of party size on tourist movements from a large-scale perspective. This paper presents an empirical case study on the understanding of tourist movement patterns from the perspective of party size using mobile tracking data in Xi'an, China. A Fine-grained Travel Party Partition (FTPP) method is proposed to automatically distinguish accompanied tourists from a dataset of all tourists in Xi'an. After aggregating travel parties according to the size, tourist movement patterns are compared across different party sizes from demographic, spatial and temporal aspects. We further discuss how the obtained insights can help the stakeholders in travel package improvement, connectivity enhancement among attractions, attraction planning and management, and personalized next-attraction recommendation.
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