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Can Tourist Attractions Boost Other Activities Around? A Data Analysis through Social Networks
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Can Tourist Attractions Boost Other Activities Around? A Data Analysis through Social Networks (2019)Can Tourist Attractions Boost Other Activ…The travel and tourism competitiveness report 2019 (2019)The travel and tourism compet…Business intelligence and big data in hospitality and tourism: a systematic literature review (2018)Business intelligence and big…Tourists' digital footprint in cities: Comparing Big Data sources (2017)Tourists' digital footprint i…Understanding the Relationships between Tourists’ Emotional Experiences, Perceived Overall Image, Satisfaction, and Intention to Recommend (2015)Understanding the Relationshi…Identification of tourist hot spots based on social networks: A comparative analysis of European metropolises using photo-sharing services and GIS (2015)Identification of tourist hot…User-Generated Content as a Research Mode in Tourism and Hospitality Applications: Topics, Methods, and Software (2014)User-Generated Content as a R…Geo-located Twitter as proxy for global mobility patterns (2014)Geo-located Twitter as proxy …Consumer behaviour in tourism: Concepts, influences and opportunities (2013)Consumer behaviour in tourism…Development and Management of Visitor Attractions (2012)Development and Management of…Characterizing Urban Landscapes Using Geolocated Tweets (2012)Characterizing Urban Landscap…The Role of User-Generated Content in Tourists' Travel Planning Behavior (2009)The Role of User-Generated Co…Digital Footprinting: Uncovering Tourists with User-Generated Content (2008)Digital Footprinting: Uncover…Information supply in tourism management by marketing decision support systems (2003)Information supply in tourism…A grounded typology of vacation decision-making (2003)A grounded typology of vacati…Marketing the competitive destination of the future (2000)Marketing the competitive des…A Phenomenology of Tourist Experiences (1979)A Phenomenology of Tourist Ex…Comparison of the Areas of Interest in Central Tokyo among Visitors by Country of Residence Using Geotagged Photographs (2021)Comparison of the Areas of In…BITOUR: A Business Intelligence Platform for Tourism Analysis (2020)BITOUR: A Business Intelligen…Reality mining: sensing complex social systems (2005)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Understanding individual human mobility patterns (2008)Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system (2010)Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)Self-efficacy: Toward a unifying theory of behavioral change. 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References

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  • 2017Tourists' digital footprint in cities: Comparing Big Data sources257 cited
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  • 2012Characterizing Urban Landscapes Using Geolocated Tweets200 cited
  • 2003Information supply in tourism management by marketing decision support systems135 cited
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    • 2020BITOUR: A Business Intelligence Platform for Tourism Analysis21 cited
    • 2021Comparison of the Areas of Interest in Central Tokyo among Visitors by Country of Residence Using Geotagged Photographs6 cited