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Mobile Collaborative Heatmapping to Infer Self-Guided Walking Tourists’ Preferences for Geomedia
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Mobile Collaborative Heatmapping to Infer Self-Guided Walking Tourists’ Preferences for Geomedia (2023)Mobile Collaborative Heatmapping to Infer…The Geography of Social Media Data in Urban Areas: Representativeness and Complementarity (2021)The Geography of Social Media…Leveraging tourist trajectory data for effective destination planning and management: A new heuristic approach (2021)Leveraging tourist trajectory…Identify and Delimitate Urban Hotspot Areas Using a Network-Based Spatiotemporal Field Clustering Method (2019)Identify and Delimitate Urban…Location based services: ongoing evolution and research agenda (2018)Location based services: ongo…Design and Application of an Attractiveness Index for Urban Hotspots Based on GPS Trajectory Data (2018)Design and Application of an …Building City-Scale Walking Itineraries Using Large Geospatial Datasets (2018)Building City-Scale Walking I…Big data in tourism research: A literature review (2018)Big data in tourism research:…Analysing the spatial-temporal characteristics of bus travel demand using the heat map (2017)Analysing the spatial-tempora…Smart card data use in public transit: A literature review (2011)Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile (2012)Mining smart card data for transit riders’ travel patterns (2013)Heat map visualisation of fire incidents based on transformed sigmoid risk model (2019)Inference of dynamic origin–destination matrices with trip and transfer status from individual smart card data (2022)Unsupervised machine learning in urban studies: A systematic review of applications (2022)Tourism demand modelling and forecasting—A review of recent research (2007)Predicting the Present with Google Trends (2012)Beyond the hype: Big data concepts, methods, and analytics (2014)Discovering the tourists' behaviors and perceptions in a tourism destination by analyzing photos' visual content with a computer deep learning model: The case of Beijing (2019)Changes in air passenger demand as a result of the COVID-19 crisis: using Big Data to inform tourism policy (2020)Artificial intelligence in tourism and hospitality: Bibliometric analysis and research agenda (2022)Geographical information science (1992)Journal of Spatial Information Science (2011)Geospatial big data handling theory and methods: A review and research challenges (2015)A Large Scale, App-Based Behaviour Change Experiment Persuading Sustainable Mobility Patterns: Methods, Results and Lessons Learnt (2019)Analytics of location-based big data for smart cities: Opportunities, challenges, and future directions (2021)Trackintel: An open-source Python library for human mobility analysis (2023)Discovering regions of different functions in a city using human mobility and POIs (2012)Land-Use Classification Using Taxi GPS Traces (2012)From mobile phone data to the spatial structure of cities (2014)Tourist hot spots prediction model based on optimized neural network algorithm (2021)Understanding Urban Area Attractiveness Based on Private Car Trajectory Data Using a Deep Learning Approach (2021)Evaluation of urban nightlife attractiveness for Millennials and Generation Z (2024)Tourism and the smartphone app: capabilities, emerging practice and scope in the travel domain (2012)What do we know about social media in tourism? A review (2014)Identification of tourist hot spots based on social networks: A comparative analysis of European metropolises using photo-sharing services and GIS (2015)Representation and Spatial Analysis in Geographic Information Systems (2003)Daily rhythms of suburban commuters’ movements in the Tallinn metropolitan area: Case study with mobile positioning data (2009)Discovering Spatial Patterns in Origin‐Destination Mobility Data (2012)Identifying Urban Traveling Hotspots Using an Interaction-Based Spatio-Temporal Data Field and Trajectory Data: A Case Study within the Sixth Ring Road of Beijing (2020)Characterization of Mobility Patterns With a Hierarchical Clustering of Origin-Destination GPS Taxi Data (2021)Urban hotspots detection of taxi stops with local maximum density (2021)Increasing Returns and Economic Geography (1990)Marketing the competitive destination of the future (2000)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Measuring tourism with big data? Empirical insights from comparing passive GPS data and passive mobile data (2022)Forecasting hourly attraction tourist volume with search engine and social media data for decision support (2023)Tracking tourist mobility in the big data era: insights from data, theory, and future directions (2024)Dynamic population mapping using mobile phone data (2014)The SAGE Handbook of Social Media Research Methods (2016)The Rise of the Sharing Economy: Estimating the Impact of Airbnb on the Hotel Industry (2017)How did COVID-19 affect tourism occupancy and prices? A spatiotemporal and economic analysis of Madrid and Valencia through Airbnb geospatial data (2023)Landschaft und (soziale) Medien (2024)Integrating crowdsourced data in the built environment studies: A systematic review (2025)
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References

  • 2018Big data in tourism research: A literature review1,073 cited
  • 2018Location based services: ongoing evolution and research agenda335 cited
  • 2017Analysing the spatial-temporal characteristics of bus travel demand using the heat map68 cited
  • 2021Leveraging tourist trajectory data for effective destination planning and management: A new heuristic approach53 cited
  • 2018Design and Application of an Attractiveness Index for Urban Hotspots Based on GPS Trajectory Data39 cited
  • 2019Identify and Delimitate Urban Hotspot Areas Using a Network-Based Spatiotemporal Field Clustering Method30 cited
  • 2021The Geography of Social Media Data in Urban Areas: Representativeness and Complementarity30 cited
  • 2018Building City-Scale Walking Itineraries Using Large Geospatial Datasets2 cited

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