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Extraction and analysis of city's tourism districts based on social media data
16 references·16 citing·42 second hopsampled
Extraction and analysis of city's tourism districts based on social media data (2017)Extraction and analysis of city's tourism…The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City (2021)The Livehoods Project: Utiliz…Exploring Millions of Footprints in Location Sharing Services (2021)Exploring Millions of Footpri…Social Sensing: A New Approach to Understanding Our Socioeconomic Environments (2015)Social Sensing: A New Approac…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…Extracting and understanding urban areas of interest using geotagged photos (2015)Extracting and understanding …Detecting tourism destinations using scalable geospatial analysis based on cloud computing platform (2015)Detecting tourism destination…Uncovering Patterns of Inter-Urban Trip and Spatial Interaction from Social Media Check-In Data (2014)Uncovering Patterns of Inter-…Geo-located Twitter as proxy for global mobility patterns (2014)Geo-located Twitter as proxy …Using social media to quantify nature-based tourism and recreation (2013)Using social media to quantif…Discovering regions of different functions in a city using human mobility and POIs (2012)Discovering regions of differ…Exploring place through user-generated content: Using Flickr to describe city cores (2010)Exploring place through user-…Tracking tourists in the digital age (2007)Tracking tourists in the digi…Evaluating passive mobile positioning data for tourism surveys: An Estonian case study (2007)Evaluating passive mobile pos…Citizens as sensors: the world of volunteered geography (2007)Citizens as sensors: the worl…Analysis of tourist behaviour based on the tracking data collected using a mobile communication instrument (2007)Analysis of tourist behaviour…Modeling Tourist Movements (2006)Modeling Tourist MovementsVivid London: Assessing the resilience of urban vibrancy during the COVID-19 pandemic using social media data (2024)Vivid London: Assessing the r…Spatial concentration of intra-urban tourist activities and inter-group differences between Asian, European and North American travelers in Korean cities (2024)Spatial concentration of intr…Revisiting city tourism in the longer run: an exploratory analysis based on LBSN data (2023)Revisiting city tourism in th…Understanding the movement predictability of international travelers using a nationwide mobile phone dataset collected in South Korea (2022)Understanding the movement pr…Quantitative Evaluation of TOD Performance Based on Multi-Source Data: A Case Study of Shanghai (2022)Quantitative Evaluation of TO…How do new transit stations affect people's sentiment and activity? A case study based on social media data in Hong Kong (2022)How do new transit stations a…Graph-based representation for identifying individual travel activities with spatiotemporal trajectories and POI data (2022)Graph-based representation fo…Visualizing Digital Traces for Sustainable Urban Management: Mapping Tourism Activity on the Virtual Public Space (2021)Visualizing Digital Traces fo…Leveraging tourist trajectory data for effective destination planning and management: A new heuristic approach (2021)Leveraging tourist trajectory…Characterizing People’s Daily Activity Patterns in the Urban Environment: A Mobility Network Approach with Geographic Context-Aware Twitter Data (2021)Characterizing People’s Daily…Tourism Flow Between Major Cities During China’s National Day Holiday: A Social Network Analysis Using Weibo Check-in Data (2020)Tourism Flow Between Major Ci…Perceiving Beijing’s “City Image” Across Different Groups Based on Geotagged Social Media Data (2020)Perceiving Beijing’s “City Im…Characterizing traveling fans: a workflow for event-oriented travel pattern analysis using Twitter data (2020)Characterizing traveling fans…Business information architecture for successful project implementation based on sentiment analysis in the tourist sector (2019)Business information architec…Big data‐enabled social sensing in spatial analysis: Potentials and pitfalls (2018)Big data‐enabled social sensi…Quantifying Tourist Behavior Patterns by Travel Motifs and Geo-Tagged Photos from Flickr (2017)Quantifying Tourist Behavior …Local Indicators of Spatial Association—LISA (1995)Progress in information technology and tourism management: 20 years on and 10 years after the Internet—The state of eTourism research (2008)Role of social media in online travel information search (2009)Tourists' digital footprint in cities: Comparing Big Data sources (2017)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)Big data and analytics in hospitality and tourism: a systematic literature review (2021)The Age of Migration (1998)Understanding individual human mobility patterns (2008)Friendship and mobility (2011)A multi-source dataset of urban life in the city of Milan and the Province of Trentino (2015)Understanding Human Mobility from Twitter (2015)Human mobility: Models and applications (2018)Revealing travel patterns and city structure with taxi trip dataA Computer Movie Simulating Urban Growth in the Detroit Region (1970)Intra-Urban Human Mobility and Activity Transition: Evidence from Social Media Check-In Data (2014)Multiscale dynamic human mobility flow dataset in the U.S. during the COVID-19 epidemic (2020)A Phenomenology of Tourist Experiences (1979)Image Differences between Prospective, First-Time, and Repeat Visitors to the Lower Rio Grande Valley (1991)The tourist gaze (2002)Sustainable tourist behaviour – a discussion of opportunities for change (2007)Exploring the travel behaviors of inbound tourists to Hong Kong using geotagged photos (2014)Tourism planning and place making: place-making or placemaking? (2017)Space and Place: The Perspective of Experience. (1978)Crowdsourcing geographic information for disaster response: a research frontier (2010)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Measuring human perceptions of a large-scale urban region using machine learning (2018)GeoAI: spatially explicit artificial intelligence techniques for geographic knowledge discovery and beyond (2019)Bowling alone: the collapse and revival of American community (2000)Bowling Alone: The Collapse and Revival of American Community (2001)Discovering Urban Functional Zones Using Latent Activity Trajectories (2014)Participatory Cultural Mapping Based on Collective Behavior Data in Location-Based Social Networks (2016)The scaling laws of human travel (2006)Limits of Predictability in Human Mobility (2010)The ghost map : the story of London's most terrifying epidemic--and how it changed science, cities, and the modern world (2007)How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets (2010)Citizen Science and Volunteered Geographic Information: Overview and Typology of Participation (2012)Instagram, Flickr, or Twitter: Assessing the usability of social media data for visitor monitoring in protected areas (2017)Social Media Data Can Be Used to Understand Tourists’ Preferences for Nature‐Based Experiences in Protected Areas (2017)Social-media data for urban sustainability (2018)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Methodologies for Cross-Domain Data Fusion: An Overview (2015)Extracting urban functional regions from points of interest and human activities on location‐based social networks (2017)
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References

  • 2007Citizens as sensors: the world of volunteered geography4,544 cited
  • 2012Discovering regions of different functions in a city using human mobility and POIs1,136 cited
  • 2015Social Sensing: A New Approach to Understanding Our Socioeconomic Environments804 cited
  • 2013Using social media to quantify nature-based tourism and recreation723 cited
  • 2021Exploring Millions of Footprints in Location Sharing Services685 cited
  • 2014Geo-located Twitter as proxy for global mobility patterns675 cited
  • 2006Modeling Tourist Movements571 cited
  • 2021The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City565 cited
  • 2014Uncovering Patterns of Inter-Urban Trip and Spatial Interaction from Social Media Check-In Data393 cited
  • 2015Identification of tourist hot spots based on social networks: A comparative analysis of European metropolises using photo-sharing services and GIS363 cited
  • 2007Tracking tourists in the digital age357 cited
  • 2010Exploring place through user-generated content: Using Flickr to describe city cores328 cited
  • 2007Evaluating passive mobile positioning data for tourism surveys: An Estonian case study320 cited
  • 2015Extracting and understanding urban areas of interest using geotagged photos310 cited

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  • 2007Analysis of tourist behaviour based on the tracking data collected using a mobile communication instrument134 cited
  • 2015Detecting tourism destinations using scalable geospatial analysis based on cloud computing platform124 cited
  • Cited by

    • 2017Quantifying Tourist Behavior Patterns by Travel Motifs and Geo-Tagged Photos from Flickr73 cited
    • 2021Leveraging tourist trajectory data for effective destination planning and management: A new heuristic approach53 cited
    • 2022Quantitative Evaluation of TOD Performance Based on Multi-Source Data: A Case Study of Shanghai53 cited
    • 2020Perceiving Beijing’s “City Image” Across Different Groups Based on Geotagged Social Media Data43 cited
    • 2020Tourism Flow Between Major Cities During China’s National Day Holiday: A Social Network Analysis Using Weibo Check-in Data42 cited
    • 2022Understanding the movement predictability of international travelers using a nationwide mobile phone dataset collected in South Korea34 cited
    • 2024Vivid London: Assessing the resilience of urban vibrancy during the COVID-19 pandemic using social media data28 cited
    • 2023Revisiting city tourism in the longer run: an exploratory analysis based on LBSN data25 cited
    • 2021Visualizing Digital Traces for Sustainable Urban Management: Mapping Tourism Activity on the Virtual Public Space24 cited
    • 2021Characterizing People’s Daily Activity Patterns in the Urban Environment: A Mobility Network Approach with Geographic Context-Aware Twitter Data24 cited
    • 2019Business information architecture for successful project implementation based on sentiment analysis in the tourist sector22 cited
    • 2018Big data‐enabled social sensing in spatial analysis: Potentials and pitfalls21 cited
    • 2022Graph-based representation for identifying individual travel activities with spatiotemporal trajectories and POI data21 cited
    • 2020Characterizing traveling fans: a workflow for event-oriented travel pattern analysis using Twitter data20 cited
    • 2022How do new transit stations affect people's sentiment and activity? A case study based on social media data in Hong Kong19 cited
    • 2024Spatial concentration of intra-urban tourist activities and inter-group differences between Asian, European and North American travelers in Korean cities15 cited