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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… Read more
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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… Read more
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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… Read more
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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. Read more
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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… Read more
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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… Read more
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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… Read more
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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… Read more
