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Mobile phone network data reveal nationwide economic value of coastal tourism under climate change
16 references·6 citing·38 second hop
Mobile phone network data reveal nationwide economic value of coastal tourism under climate change (2019)Mobile phone network data reveal nationwi…Passive crowdsourcing of social media in environmental research: A systematic map (2019)Passive crowdsourcing of soci…Social-media data for urban sustainability (2018)Social-media data for urban s…Big data in tourism research: A literature review (2018)Big data in tourism research:…Social Media Data Can Be Used to Understand Tourists’ Preferences for Nature‐Based Experiences in Protected Areas (2017)Social Media Data Can Be Used…Instagram, Flickr, or Twitter: Assessing the usability of social media data for visitor monitoring in protected areas (2017)Instagram, Flickr, or Twitter…A Primer on Nonmarket Valuation (2017)A Primer on Nonmarket Valuati…Paris Agreement climate proposals need a boost to keep warming well below 2 °C (2016)Paris Agreement climate propo…Recreational demand for clean water: evidence from geotagged photographs by visitors to lakes (2015)Recreational demand for clean…Polarized frames on “climate change” and “global warming” across countries and states: Evidence from Twitter big data (2015)Polarized frames on “climate …The Measurement of Environmental and Resource Values (2014)The Measurement of Environmen…Dynamic population mapping using mobile phone data (2014)Dynamic population mapping us…Using social media to quantify nature-based tourism and recreation (2013)Using social media to quantif…Real-time routing with OpenStreetMap data (2011)Real-time routing with OpenSt…Implications of Global Climate Change for Tourism Flows and Seasonality (2007)Implications of Global Climat…The measurement of environmental and resource values: theory and methods (2003)The measurement of environmen…Value of Time in Recreation Benefit Studies (1976)Value of Time in Recreation B…Spatiotemporal Analysis of Human Mobility in Greater Tokyo Area Using Hourly 500 m Mobile Spatial Statistics from 2019 to 2021 (2025)Spatiotemporal Analysis of Hu…Coupling mobile positioning data and discrete choice model to decode travelers’ spatial choices within urban destinations (2025)Coupling mobile positioning d…Mapping cultural ecosystem services in mountain forests using mobile phone data (2023)Mapping cultural ecosystem se…Valuing nature-based recreation using a crowdsourced travel cost method: A comparison to onsite survey data and value transfer (2020)Valuing nature-based recreati…Travelers’ Responsible Environmental Behavior towards Sustainable Coastal Tourism: An Empirical Investigation on Social Media User-Generated Content (2020)Travelers’ Responsible Enviro…Travel cost analysis of an urban protected area and parks in Singapore: a mobile phone data application (2020)Travel cost analysis of an ur…Understanding individual human mobility patterns (2008)Computational Social Science (2009)Limits of Predictability in Human Mobility (2010)A survey of results on mobile phone datasets analysis (2015)Human development report 2015: work for human development (2015)Predicting poverty and wealth from mobile phone metadata (2015)Motivations for pleasure vacation (1979)Motivation and Personality (1997)Special report on emissions scenarios (2000)International tourism and climate change (2012)Climate change and tourism: a scientometric analysis using CiteSpace (2017)Global tourism vulnerability to climate change (2019)Researching Volunteered Geographic Information: Spatial Data, Geographic Research, and New Social Practice (2011)Big Data, new epistemologies and paradigm shifts (2014)Using social media to assess nature-based tourism: Current research and future trends (2020)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)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)Asymmetric role of tourism development and technology innovation on carbon dioxide emission reduction in the Chinese economy: Fresh insights from QARDL approach (2020)Changes in air passenger demand as a result of the COVID-19 crisis: using Big Data to inform tourism policy (2020)The Opportunity Cost of Travel Time in Recreation Demand Models (1983)The influence of distance and prices on the choice of tourist destinations: The moderating role of motivations (2006)The recreational value of Lake McKenzie, Fraser Island: An application of the travel cost method (2008)Recent Developments and Future Trends in Volunteered Geographic Information Research: The Case of OpenStreetMap (2014)Route Planning in Transportation Networks (2016)OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing (2020)Spatial landscape indices in a hedonic framework: an ecological economics analysis using GIS (1997)Contingent Valuation: Controversies and Evidence (2001)Contemporary Guidance for Stated Preference Studies (2017)The trouble with negative emissions (2016)Natural climate solutions (2017)Strategies to achieve a carbon neutral society: a review (2022)Impacts of urban environmental elements on residential housing prices in Guangzhou (China) (2006)Open space, residential property values, and spatial context (2006)CALCULATING TRAGEDY: ASSESSING THE COSTS OF TERRORISM (2007)
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References

  • 2016Paris Agreement climate proposals need a boost to keep warming well below 2 °C3,433 cited
  • 2014The Measurement of Environmental and Resource Values2,308 cited
  • 2018Big data in tourism research: A literature review1,073 cited
  • 2014Dynamic population mapping using mobile phone data908 cited
  • 2013Using social media to quantify nature-based tourism and recreation723 cited
  • 2007Implications of Global Climate Change for Tourism Flows and Seasonality599 cited
  • 2003The measurement of environmental and resource values: theory and methods530 cited
  • 2011Real-time routing with OpenStreetMap data521 cited
  • 1976Value of Time in Recreation Benefit Studies443 cited
  • 2017Instagram, Flickr, or Twitter: Assessing the usability of social media data for visitor monitoring in protected areas441 cited
  • 2017Social Media Data Can Be Used to Understand Tourists’ Preferences for Nature‐Based Experiences in Protected Areas404 cited
  • 2017A Primer on Nonmarket Valuation392 cited
  • 2019Passive crowdsourcing of social media in environmental research: A systematic map365 cited
  • 2015Polarized frames on “climate change” and “global warming” across countries and states: Evidence from Twitter big data324 cited
  • 2018

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Social-media data for urban sustainability
291 cited
  • 2015Recreational demand for clean water: evidence from geotagged photographs by visitors to lakes276 cited
  • Cited by

    • 2020Travelers’ Responsible Environmental Behavior towards Sustainable Coastal Tourism: An Empirical Investigation on Social Media User-Generated Content121 cited
    • 2020Travel cost analysis of an urban protected area and parks in Singapore: a mobile phone data application66 cited
    • 2020Valuing nature-based recreation using a crowdsourced travel cost method: A comparison to onsite survey data and value transfer64 cited
    • 2023Mapping cultural ecosystem services in mountain forests using mobile phone data6 cited
    • 2025Spatiotemporal Analysis of Human Mobility in Greater Tokyo Area Using Hourly 500 m Mobile Spatial Statistics from 2019 to 20214 cited
    • 2025Coupling mobile positioning data and discrete choice model to decode travelers’ spatial choices within urban destinations3 cited