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Applying Novel Visitation Models using Diverse Social Media to Understand Recreation Change after Wildfire and Site Closure
Benefit
Group
Region
Year
This study analyzes how visitation in the Columbia River Gorge of Oregon and Washington changed as a result of the 2017 Eagle Creek Fire. A visitation model is constructed by incorporating data from social media to measure visitation patterns and used to look for a substitution effect on nearby recreation sites after the fire.
Citation
White, E.M., Winder, S.G. and Wood, S.A. 2023. Applying novel visitation models using diverse social media to understand recreation change after wildfire and site closure. Society & Natural Resources 36(1): 58-75.
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Assessing Forest Recreational Potential from Social Media Data and Remote Sensing Technologies Data
Group
Region
Year
This study uses Flickr data and remote sensing technologies to identify forest biometric and topographic data to map and estimate recreational potential of British Columbia’s provincial park system. Potential recreation and consumer surplus are mapped in Cypress Provincial Park using variables that influence visitors’ preferences for recreational activities. A machine learning approach called convolutional neural…
Citation
Lingua, F., Coops, N.C. and Griess, V.C. 2023. Assessing forest recreational potential from social media data and remote sensing technologies data. Ecological Indicators 149, 110165.
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Evaluation of GNSS-based Volunteered Geographic Information for assessing visitor spatial distribution within protected areas: A case study of the Bavarian Forest National Park, Germany
This study analyzes the reliability of Global Navigation Satellite System-based (GNSS) Volunteered Geographic Information (VGI) using three platforms: GPSies, Outdooractive, and Komoot. These data sources are compared with automatic visitor counters to evaluate the spatial distribution of hikers in Germany’s Bavarian Forest National Park. In a comparison of all three platforms, GPSies and Outdooractive had…
Citation
Horst, L., Taczanowska, K., Porst, F. and Arnberger, A. 2023. Evaluation of GNSS-based Volunteered Geographic Information for assessing visitor spatial distribution within protected areas: A case study of the Bavarian Forest National Park, Germany. Applied Geography 150(2023), 102825.
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Financing Recreational Trails Through Donations: Testing Behavioural Theory in Mountain Biking Context
In Rörbäcksnäs, Sweden, researchers found that social information such as collective action and descriptive norms in signage posted on the main mountain biking trailhead encouraged higher donation amounts and participation rates from mountain bikers. Descriptive norms included listing the donation amount from mountain bikers in recent weeks on the signage. Through the survey, researchers found…
Citation
Nowak, M. and Heldt, T. 2023. Financing recreational trails through donations: Testing behavioural theory in mountain biking context. Journal of Outdoor Recreation and Tourism, 42, 100603.
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Squeezing the most from volunteered geographic information to monitor mountain biking in peri-urban protected and recreational areas at a metropolitan scale
This study evaluates mountain bike use in five recreational areas using GPSies data at a regional scale in the Lisbon Metropolitan Area (LMA) in Portugal. Results indicate that 98% of users were from Portugal and 60.57% of the rides were going to at least one of the protected and recreational areas (P&RAs) studied. 80.77% of…
Citation
Mendes, R.M.N., Farías-Torbidoni, E.I. and da Silva, C.P. 2023. Squeezing the most from volunteered geographic information to monitor mountain biking in peri-urban protected and recreational areas at a metropolitan scale. Journal of Outdoor Recreation and Tourism 42(2023), 100624.
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The Knoxville Urban Wilderness Trail System and Baker Creek Preserve Bike Park: A Profile of Users and Physical Activity
This study is listed as the first in a series of Knoxville Urban Wilderness (KUW) health and economic impact reports. This paper details the number of KUW users during 2021. Findings include that the users of the KUW trail system are predominately white, adult males, and that mountain biking, running, and walking are the most…
Citation
Fitzhugh, E.C., Gregory, D. and Sims, C. 2023. The Knoxville Urban Wilderness Trail System and Baker Creek Preserve Bike Park: A Profile of Users and Physical Activity. Knoxville, TN: University of Tennessee.
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Trends in recreational walking trail usage in Ireland during the COVID-19 pandemic: Implications for practice
This study analyzed changes in visitation on 33 of Ireland’s recreational walking trails between January 2019 and December 2020 using data from infrared sensors and Google Community Mobility Report (GCMR) data. A strong correlation was found between GCMR data and infrared sensors. There was a 6% overall increase in recreational trail usage in Ireland in…
Citation
Power, D., Lambe, B. and Murphy, N. 2023. Trends in recreational walking trail usage in Ireland during the COVID-19 pandemic: Implications for practice. Journal of Outdoor Recreation and Tourism 41(2023), 100477.
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Using Social Media Camping Data for Evaluating, Quantifying, and Understanding Recreational Ecosystem Services in Post-COVID-19 Megacities: A Case Study from Beijing
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Region
Year
The authors apply a GIS spatial analysis using social media data to quantify public perspectives of recreational ecosystem services (RESs) or green spaces in Beijing, China. This megacity-scale study was conducted using data from the Little Red Book (LRB) which has been referred to as “China’s Instagram.” Though the authors acknowledge there are some limitations…
Citation
Xu, H., Zhao, G., Liu, Y. and Miao, M. 2023. Using Social Media Camping Data for Evaluating, Quantifying, and Understanding Recreational Ecosystem Services in Post-COVID-19 Megacities: A Case Study from Beijing. Forests 14(6): 1151.
Library of Trails Benefits
This Trails Benefits Library is a collection of studies on the positive impacts of trails on businesses, public health, and quality of life. Use this form to search by type of benefit, use, year, and region.