Spatial structures of tourism destinations: A trajectory data mining approach leveraging mobile big dataSangwon Park, Yang Xu2020-06-09articleAnnals of Tourism Research178 citationsclosedNo readable copy stored yet — this record is metadata only.Human Mobility and Location-Based AnalysisDiverse Aspects of Tourism ResearchData Management and AlgorithmsAbstractNo abstract was published for this record.Citations in this libraryStored only when both papers are in the corpus — 178 citations exist upstream.References2000The Spatial Economy: Cities, Regions, and International Trade1998Welcome to the experience economy.2020The Geography of Transport Systems2015Smart tourism: foundations and developments2019Welcome to the experience economy2016The Geography of Transport Systems2018Big data in tourism research: A literature review2015Conceptual foundations for understanding smart tourism ecosystemsCited by2022Cluster analysis of microscopic spatio-temporal patterns of tourists’ movement behaviors in mountainous scenic areas using open GPS-trajectory data2022Tourism demand forecasting with spatiotemporal features2021Brand management and cocreation lessons from tourism and hospitality: introduction to the special issue2021Leveraging tourist trajectory data for effective destination planning and management: A new heuristic approach2022Assessing the validity of mobile device data for estimating visitor demographics and visitation patterns in Yellowstone National Park2024Tracking tourist mobility in the big data era: insights from data, theory, and future directions2021Pattern Recognition of Travel Mobility in a City Destination: Application of Network Motif Analytics2023Analyzing travel mobility patterns in city destinations: Implications for destination design