Detail Spatial structures of tourism destinations: A trajectory data mining approach leveraging mobile big data (Annals of Tourism Research) Bibliografi Author: Park, Sangwon ; Xu, Yang ; Jiang, Liu ; Chen, Zhelin ; Huang, Shuyi Topik: Smart tourism; Destination planning; Big data; Mobile sensor data; Trajectory pattern mining Bahasa: (EN )    Edisi: Vol. 84     Penerbit: Elsevier     Tahun Terbit: 2020     Jenis: Article - diterbitkan di jurnal ilmiah internasional Fulltext: Spatial sctructures of tourism destinations.pdf (3.5MB; 0 download) [Informasi yang berkaitan dengan koleksi ini di internet] 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 Opini Anda Klik untuk menuliskan opini Anda tentang koleksi ini! Lihat Sejarah Pengadaan  Konversi Metadata   Kembali

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