Spatial structures of tourism destinations: A trajectory data mining approach leveraging mobile big data

Sangwon Park, Yang Xu, Liu Jiang, Zhelin Chen and Shuyi Huang

Annals of Tourism Research, 2020, vol. 84, issue C

Abstract: The advancement of mobile technology provides an opportunity to obtain the real-time information of travelers, such as their spatial and temporal behaviors, during their visits to a destination. This study analyzes a large scale mobile phone dataset that captures the cellphone trace of international travelers who visited South Korea. We apply a trajectory data mining approach to understand the spatial structures of tourist activities within three different destinations. Through spatial clustering analysis and sequential pattern mining, the study reveals multiple “hot spots” (or popular areas) in travel destinations and spatial interactions across these places. As a result, this paper provides important tourism implications integrating spatial models with destination planning, which is the foundation of tourism design.

Keywords: Smart tourism; Destination planning; Big data; Mobile sensor data; Trajectory pattern mining (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:anture:v:84:y:2020:i:c:s0160738320301171

DOI: 10.1016/j.annals.2020.102973

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