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Google Mobility Data as a Predictor for Tourism in Romania during the COVID-19 Pandemic—A Structural Equation Modeling Approach for Big Data
16 references·1 citing·59 second hopsampled
Google Mobility Data as a Predictor for Tourism in Romania during the COVID-19 Pandemic—A Structural Equation Modeling Approach for Big Data (2022)Google Mobility Data as a Predictor for T…An overview of effects of COVID-19 on mobility and lifestyle: 18 months since the outbreak (2022)An overview of effects of COV…What prompts tourists to become public transportation users at their destination? The case of a Mediterranean city (2021)What prompts tourists to beco…Using mobile technology to track wine tourists (2021)Using mobile technology to tr…Practical geospatial and sociodemographic predictors of human mobility (2021)Practical geospatial and soci…Passive Mobile Data for Studying Seasonal Tourism Mobilities: An Application in a Mediterranean Coastal Destination (2021)Passive Mobile Data for Study…Observing the silent world under COVID-19 with a comprehensive impact analysis based on human mobility (2021)Observing the silent world un…COVID-19 and mobility in tourism cities: A statistical change-point detection approach (2021)COVID-19 and mobility in tour…A review of early COVID-19 research in tourism: Launching the Annals of Tourism Research's Curated Collection on coronavirus and tourism (2021)A review of early COVID-19 re…Using Flickr Geotagged Photos to Estimate Visitor Trajectories in World Heritage Cities (2020)Using Flickr Geotagged Photos…Potential of public transport in regionalisation of main cruise destinations in Mediterranean (2019)Potential of public transport…Exploring Group Movement Pattern through Cellular Data: A Case Study of Tourists in Hainan (2019)Exploring Group Movement Patt…Using Google Location History data to quantify fine-scale human mobility (2018)Using Google Location History…Extraction of Tourist Destinations and Comparative Analysis of Preferences Between Foreign Tourists and Domestic Tourists on the Basis of Geotagged Social Media Data (2018)Extraction of Tourist Destina…Quantifying Tourist Behavior Patterns by Travel Motifs and Geo-Tagged Photos from Flickr (2017)Quantifying Tourist Behavior …Exploring the Potential of Mobile Phone Data in Travel Pattern Analysis (2016)Exploring the Potential of Mo…Can Google data improve the forecasting performance of tourist arrivals? Mixed-data sampling approach (2014)Can Google data improve the f…Google and Apple mobility data as predictors for European tourism during the COVID-19 pandemic: A neural network approach (2023)Google and Apple mobility dat…Comparing Predictive Accuracy (1994)Comparing Predictive Accuracy (1995)In Search of Attention (2011)New developments in tourism and hotel demand modeling and forecasting (2017)Forecasting sales in the supply chain: Consumer analytics in the big data era (2018)Forecasting tourism demand with multisource big data (2020)Unravelling daily human mobility motifs (2013)Using social media to quantify nature-based tourism and recreation (2013)Uncovering Patterns of Inter-Urban Trip and Spatial Interaction from Social Media Check-In Data (2014)Comparing Social Media Data and Survey Data in Assessing the Attractiveness of Beijing Olympic Forest Park (2018)Pattern Recognition of Travel Mobility in a City Destination: Application of Network Motif Analytics (2021)Towards a multidimensional view of tourist mobility patterns in cities: A mobile phone data perspective (2021)The P 1 P 2 D Hypothesis: On the Intercity Movement of Persons (1946)Mapping the world's photos (2009)A universal model for mobility and migration patterns (2012)Comparing the spatiotemporal behavior patterns of local, domestic and overseas tourists in Beijing based on multi-source social media big data (2022)Scoping out urban areas of tourist interest though geolocated social media data: Bucharest as a case study (2022)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Friendship and mobility (2011)Exploring the use of mobile phone data for national migration statistics (2019)Measuring mobility, disease connectivity and individual risk: a review of using mobile phone data and mHealth for travel medicine (2019)Uncovering temporal changes in Europe’s population density patterns using a data fusion approach (2020)Caribbean cruise tourism (2000)The eco-efficiency of tourism (2005)Responsible Cruise Tourism: Issues of Cruise Tourism and Sustainability (2011)Location Characteristics of Cruise Terminals in China: A Lesson from Hong Kong and Shanghai (2019)Cruise Tourism for Sustainability: An Exploration of Value Chain in Shenzhen Shekou Port (2020)Cruise tourism destinations: Practices, consequences and the road to sustainability (2023)Destination Competitiveness: An Analysis of Determinant Attributes (2010)Urban tourism research: Recent progress and current paradoxes (2010)Airbnb and the rent gap: Gentrification through the sharing economy (2018)An analysis on the spatiotemporal behavior of inbound tourists in Jiaodong Peninsula based on Flickr geotagged photos (2023)Exploring biases in travel behavior patterns in big passively generated mobile data from 11 U.S. cities (2024)Sustainable tourism at nature-based cultural heritage sites: visitor density and its influencing factors (2025)The Tourist-Historic City (2000)‘Complacent Car Addicts’ or ‘Aspiring Environmentalists’? Identifying travel behaviour segments using attitude theory (2005)TOURIST SATISFACTION AND DISSATISFACTION (2009)Green mobility at home, green mobility at tourism destinations: A cross-country study of transport modal choices of educated young adults (2022)Open Innovations for Tourism Logistics Design: A Case Study of a Smart Bus Route Design for the Medical Tourist in the City of Greater Mekong Subregion (2022)The heterogeneity of travel mode choice behavior under unplanned metro service disruptions (2025)Optimal Detection of Changepoints With a Linear Computational Cost (2012)Economic and social consequences of human mobility restrictions under COVID-19 (2020)Pandemics, tourism and global change: a rapid assessment of COVID-19 (2020)Omnichannelling and the Predominance of Big Retailers in the post-Covid Era (2021)What makes guests trust Airbnb? Consumer trust formation and its impact on continuance intention in the sharing economy (2021)How the COVID-19 Pandemic Affected the Functioning of Tourist Short-Term Rental Platforms (Airbnb and Vrbo) in Polish Cities (2022)What Constitutes a Theoretical Contribution? (1989)Tourism and COVID-19: Impacts and implications for advancing and resetting industry and research (2020)Using social and behavioural science to support COVID-19 pandemic response (2020)Tourists’ Health Risk Threats Amid COVID-19 Era: Role of Technology Innovation, Transformation, and Recovery Implications for Sustainable Tourism (2022)Two years of COVID-19 and tourism: what we learned, and what we should have learned (2022)Netnography evolved: New contexts, scope, procedures and sensibilities (2023)The theory of planned behavior (1991)Prospect Theory (2010)COVID-19 and Public Transportation: Current Assessment, Prospects, and Research Needs (2020)Understanding Post-Pandemic Metro Commuting Ridership by Considering the Built Environment: A Quasi-Natural Experiment in Wuhan, China (2022)Behavioral changes during the COVID-19 pandemic decreased income diversity of urban encounters (2023)Impacts of the COVID-19 pandemic on the social sphere and lessons for crisis management: a literature review (2023)
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References

  • 2014Can Google data improve the forecasting performance of tourist arrivals? Mixed-data sampling approach331 cited
  • 2021A review of early COVID-19 research in tourism: Launching the Annals of Tourism Research's Curated Collection on coronavirus and tourism206 cited
  • 2022An overview of effects of COVID-19 on mobility and lifestyle: 18 months since the outbreak152 cited
  • 2018Using Google Location History data to quantify fine-scale human mobility119 cited
  • 2017Quantifying Tourist Behavior Patterns by Travel Motifs and Geo-Tagged Photos from Flickr73 cited
  • 2021COVID-19 and mobility in tourism cities: A statistical change-point detection approach52 cited
  • 2020Using Flickr Geotagged Photos to Estimate Visitor Trajectories in World Heritage Cities45 cited
  • 2021What prompts tourists to become public transportation users at their destination? The case of a Mediterranean city43 cited
  • 2018Extraction of Tourist Destinations and Comparative Analysis of Preferences Between Foreign Tourists and Domestic Tourists on the Basis of Geotagged Social Media Data42 cited
  • 2019Potential of public transport in regionalisation of main cruise destinations in Mediterranean34 cited
  • 2016Exploring the Potential of Mobile Phone Data in Travel Pattern Analysis30 cited
  • 2019Exploring Group Movement Pattern through Cellular Data: A Case Study of Tourists in Hainan29 cited
  • 2021Passive Mobile Data for Studying Seasonal Tourism Mobilities: An Application in a Mediterranean Coastal Destination

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21 cited
  • 2021Using mobile technology to track wine tourists20 cited
  • 2021Observing the silent world under COVID-19 with a comprehensive impact analysis based on human mobility20 cited
  • 2021Practical geospatial and sociodemographic predictors of human mobility19 cited
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    • 2023Google and Apple mobility data as predictors for European tourism during the COVID-19 pandemic: A neural network approach11 cited