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Using cellular device location data to estimate visitation to public lands: Comparing device location data to U.S. National Park Service’s visitor use statistics
16 references·2 citing·38 second hop
Using cellular device location data to estimate visitation to public lands: Comparing device location data to U.S. National Park Service’s visitor use statistics (2023)Using cellular device location data to es…Assessing the validity of mobile device data for estimating visitor demographics and visitation patterns in Yellowstone National Park (2022)Assessing the validity of mob…Using data derived from cellular phone locations to estimate visitation to natural areas: An application to water recreation in New England, USA (2020)Using data derived from cellu…Uses and Limitations of Social Media to Inform Visitor Use Management in Parks and Protected Areas: A Systematic Review (2020)Uses and Limitations of Socia…Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle (2020)Mobile phone data for informi…Aggregated mobility data could help fight COVID-19 (2020)Aggregated mobility data coul…A Review of Human Mobility Research Based on Big Data and Its Implication for Smart City Development (2020)A Review of Human Mobility Re…Using Mobile Device Data to Estimate Visitation in Parks and Protected Areas: An Example from the Nature Reserve of Orange County, California (2019)Using Mobile Device Data to E…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 crowd-sourced photos to assess seasonal patterns of visitor use in mountain-protected areas (2018)Using crowd-sourced photos to…User-Generated Geographic Information for Visitor Monitoring in a National Park: A Comparison of Social Media Data and Visitor Survey (2017)User-Generated Geographic Inf…Instagram, Flickr, or Twitter: Assessing the usability of social media data for visitor monitoring in protected areas (2017)Instagram, Flickr, or Twitter…Measuring recreational visitation at U.S. National Parks with crowd-sourced photographs (2016)Measuring recreational visita…Recreational demand for clean water: evidence from geotagged photographs by visitors to lakes (2015)Recreational demand for clean…Social media for large studies of behavior (2014)Social media for large studie…Using social media to quantify nature-based tourism and recreation (2013)Using social media to quantif…A Comparison of Tourists’ Spatial–Temporal Behaviors Between Location-Based Service Data and Onsite GPS Tracks (2025)A Comparison of Tourists’ Spa…Leveraging digital mobility data to estimate visitation in National Wildlife Refuges (2024)Leveraging digital mobility d…Birds of a Feather: Homophily in Social Networks (2001)Why Most Published Research Findings Are False (2005)Why Most Published Research Findings Are False (2005)A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism (2016)Social media analytics – Challenges in topic discovery, data collection, and data preparation (2017)Fake news on Twitter during the 2016 U.S. presidential election (2019)Valuing the Environment Through Contingent Valuation (1994)The Measurement of Environmental and Resource Values (2014)The impacts of trail infrastructure on vegetation and soils: Current literature and future directions (2015)Recreational use in dispersed public lands measured using social media data and on-site counts (2018)Using social media to assess nature-based tourism: Current research and future trends (2020)Valuing environmental and natural resources - the econometrics of non-market valuation. (2002)A crowdsourced valuation of recreational ecosystem services using social media data: An application to a tropical wetland in India (2018)Citizens as sensors: the world of volunteered geography (2007)CRITICAL QUESTIONS FOR BIG DATA (2012)Key issues and research priorities for public participation GIS (PPGIS): A synthesis based on empirical research (2013)Quantifying nature-based tourism in protected areas in developing countries by using social big data (2018)Researching Volunteered Geographic Information: Spatial Data, Geographic Research, and New Social Practice (2011)Big Data, new epistemologies and paradigm shifts (2014)Big data and analytics in hospitality and tourism: a systematic literature review (2021)From user-generated data to data-driven innovation: A research agenda to understand user privacy in digital markets (2021)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. (2009)Using social media to estimate visitor provenance and patterns of recreation in Germany's national parks (2020)Systematic reviews in the social sciences: a practical guide (2006)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Using social media to measure and map visitation to public lands in Utah (2021)Collecting, analyzing, and visualizing location-based social media data: review of methods in GIS-social media analysis (2022)Geolocated social media data counts as a proxy for recreational visits in natural areas: A meta-analysis (2022)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)Economic and social consequences of human mobility restrictions under COVID-19 (2020)Multiscale dynamic human mobility flow dataset in the U.S. during the COVID-19 epidemic (2020)Twitter reveals human mobility dynamics during the COVID-19 pandemic (2020)Evaluating the effect of demographic factors, socioeconomic factors, and risk aversion on mobility during the COVID-19 epidemic in France under lockdown: a population-based study (2020)Emerging COVID-19 impacts, responses, and lessons for building resilience in the seafood system (2021)A survey on deep learning for human mobility (2023)
this work references cited by second hop

References

  • 2013Using social media to quantify nature-based tourism and recreation723 cited
  • 2014Social media for large studies of behavior647 cited
  • 2020Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle630 cited
  • 2017Instagram, Flickr, or Twitter: Assessing the usability of social media data for visitor monitoring in protected areas441 cited
  • 2020Aggregated mobility data could help fight COVID-19402 cited
  • 2019Passive crowdsourcing of social media in environmental research: A systematic map365 cited
  • 2017User-Generated Geographic Information for Visitor Monitoring in a National Park: A Comparison of Social Media Data and Visitor Survey276 cited
  • 2015Recreational demand for clean water: evidence from geotagged photographs by visitors to lakes276 cited
  • 2016Measuring recreational visitation at U.S. National Parks with crowd-sourced photographs191 cited
  • 2020Uses and Limitations of Social Media to Inform Visitor Use Management in Parks and Protected Areas: A Systematic Review174 cited
  • 2020A Review of Human Mobility Research Based on Big Data and Its Implication for Smart City Development98 cited
  • 2018Using crowd-sourced photos to assess seasonal patterns of visitor use in mountain-protected areas90 cited
  • 2019The Geographic Spread and Preferences of Tourists Revealed by User-Generated Information on Jeju Island, South Korea64 cited

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  • 2020Using data derived from cellular phone locations to estimate visitation to natural areas: An application to water recreation in New England, USA53 cited
  • 2019Using Mobile Device Data to Estimate Visitation in Parks and Protected Areas: An Example from the Nature Reserve of Orange County, California53 cited
  • 2022Assessing the validity of mobile device data for estimating visitor demographics and visitation patterns in Yellowstone National Park47 cited
  • Cited by

    • 2025A Comparison of Tourists’ Spatial–Temporal Behaviors Between Location-Based Service Data and Onsite GPS Tracks13 cited
    • 2024Leveraging digital mobility data to estimate visitation in National Wildlife Refuges10 cited