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Analyzing national parks visitor activities using geotagged social media photos
16 references·3 citing·47 second hop
Analyzing national parks visitor activities using geotagged social media photos (2023)Analyzing national parks visitor activiti…Geolocated social media data counts as a proxy for recreational visits in natural areas: A meta-analysis (2022)Geolocated social media data …Using social media to estimate visitor provenance and patterns of recreation in Germany's national parks (2020)Using social media to estimat…Using geotagged photographs and GPS tracks from social networks to analyse visitor behaviour in national parks (2019)Using geotagged photographs a…The Geographic Spread and Preferences of Tourists Revealed by User-Generated Information on Jeju Island, South Korea (2019)The Geographic Spread and Pre…Passive crowdsourcing of social media in environmental research: A systematic map (2019)Passive crowdsourcing of soci…Using volunteered geographic information to assess park visitation: Comparing three on-line platforms (2017)Using volunteered geographic …An evaluation of crowdsourced information for assessing the visitation and perceived importance of protected areas (2017)An evaluation of crowdsourced…Mapping Cilento: Using geotagged social media data to characterize tourist flows in southern Italy (2016)Mapping Cilento: Using geotag…Recreational demand for clean water: evidence from geotagged photographs by visitors to lakes (2015)Recreational demand for clean…Using social media to quantify nature-based tourism and recreation (2013)Using social media to quantif…Using geotagged photographs and GIS analysis to estimate visitor flows in natural areas (2013)Using geotagged photographs a…Automatic construction of travel itineraries using social breadcrumbs (2010)Automatic construction of tra…Understanding Tourist Movement Patterns in a Destination: A GIS Approach (2006)Understanding Tourist Movemen…Modeling Tourist Movements (2006)Modeling Tourist MovementsTracking survey for individual travel behaviour using mobile communication instruments (2004)Tracking survey for individua…What about people in Regional Science? (1970)What about people in Regional…Georeferenced X (formerly twitter) data as a proxy of mobility behaviour: case study of Norway (2024)Georeferenced X (formerly twi…Distribution characteristics and influencing factors of tourist attractions in Tianjin based on POI big data (2024)Distribution characteristics …Spatial Patterns Characteristics and Influencing Factors of Cultural Resources in the Yellow River National Cultural Park, China (2023)Spatial Patterns Characterist…Route Choice: Wayfinding in Transport Networks (1990)Measuring behaviour: an introductory guide (1994)Measuring Behaviour. 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(1970)Citizens as sensors: the world of volunteered geography (2007)Quantitative Analysis of Culture Using Millions of Digitized Books (2010)Spatial patterns and determinant factors of population flow networks in China: Analysis on Tencent Location Big Data (2020)Uses and Limitations of Social Media to Inform Visitor Use Management in Parks and Protected Areas: A Systematic Review (2020)A Coefficient of Agreement for Nominal Scales (1960)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. 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References

  • 1970What about people in Regional Science?1,584 cited
  • 2013Using social media to quantify nature-based tourism and recreation723 cited
  • 2006Modeling Tourist Movements571 cited
  • 2019Passive crowdsourcing of social media in environmental research: A systematic map365 cited
  • 2006Understanding Tourist Movement Patterns in a Destination: A GIS Approach323 cited
  • 2010Automatic construction of travel itineraries using social breadcrumbs307 cited
  • 2015Recreational demand for clean water: evidence from geotagged photographs by visitors to lakes276 cited
  • 2016Mapping Cilento: Using geotagged social media data to characterize tourist flows in southern Italy216 cited
  • 2004Tracking survey for individual travel behaviour using mobile communication instruments196 cited
  • 2017An evaluation of crowdsourced information for assessing the visitation and perceived importance of protected areas140 cited
  • 2020Using social media to estimate visitor provenance and patterns of recreation in Germany's national parks128 cited
  • 2019Using geotagged photographs and GPS tracks from social networks to analyse visitor behaviour in national parks117 cited
  • 2013Using geotagged photographs and GIS analysis to estimate visitor flows in natural areas101 cited
  • 2017Using volunteered geographic information to assess park visitation: Comparing three on-line platforms

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90 cited
  • 2022Geolocated social media data counts as a proxy for recreational visits in natural areas: A meta-analysis65 cited
  • 2019The Geographic Spread and Preferences of Tourists Revealed by User-Generated Information on Jeju Island, South Korea64 cited
  • Cited by

    • 2023Spatial Patterns Characteristics and Influencing Factors of Cultural Resources in the Yellow River National Cultural Park, China23 cited
    • 2024Distribution characteristics and influencing factors of tourist attractions in Tianjin based on POI big data6 cited
    • 2024Georeferenced X (formerly twitter) data as a proxy of mobility behaviour: case study of Norway4 cited