Literature DB >> 29908477

Recreational use in dispersed public lands measured using social media data and on-site counts.

David M Fisher1, Spencer A Wood2, Eric M White3, Dale J Blahna3, Sarah Lange4, Alex Weinberg4, Michael Tomco5, Emilia Lia5.   

Abstract

Outdoor recreation is one of many important benefits provided by public lands. Data on recreational use are critical for informing management of recreation resources, however, managers often lack actionable information on visitor use for large protected areas that lack controlled access points. The purpose of this study is to explore the potential for social media data (e.g., geotagged images shared on Flickr and trip reports shared on a hiking forum) to provide land managers with useful measures of recreational use to dispersed areas, and to provide lessons learned from comparing several more traditional counting methods. First, we measure daily and monthly visitation rates to individual trails within the Mount Baker-Snoqualmie National Forest (MBSNF) in western Washington. At 15 trailheads, we compare counts of hikers from infrared sensors, timelapse cameras, and manual on-site counts, to counts based on the number of shared geotagged images and trip reports from those locations. Second, we measure visitation rates to each National Forest System (NFS) unit across the US and compare annual measurements derived from the number of geotagged images to estimates from the US Forest Service National Visitor Use Monitoring Program. At both the NFS unit and the individual-trail scales, we found strong correlations between traditional measures of recreational use and measures based on user-generated content shared on the internet. For national forests in every region of the country, correlations between official Forest Service statistics and geotagged images ranged between 55% and 95%. For individual trails within the MBSNF, monthly visitor counts from on-site measurements were strongly correlated with counts from geotagged images (79%) and trip reports (91%). The convenient, cost-efficient and timely nature of collecting and analyzing user-generated data could allow land managers to monitor use over different seasons of the year and at sites and scales never previously monitored, contributing to a more comprehensive understanding of recreational use patterns and values.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Keywords:  Conservation areas; Geotagged photographs; National forests; Public lands; Recreation; Social media; Visitation rates

Mesh:

Year:  2018        PMID: 29908477     DOI: 10.1016/j.jenvman.2018.05.045

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  3 in total

1.  Using data derived from cellular phone locations to estimate visitation to natural areas: An application to water recreation in New England, USA.

Authors:  Nathaniel H Merrill; Sarina F Atkinson; Kate K Mulvaney; Marisa J Mazzotta; Justin Bousquin
Journal:  PLoS One       Date:  2020-04-30       Impact factor: 3.240

2.  Next-generation visitation models using social media to estimate recreation on public lands.

Authors:  Spencer A Wood; Samantha G Winder; Emilia H Lia; Eric M White; Christian S L Crowley; Adam A Milnor
Journal:  Sci Rep       Date:  2020-09-22       Impact factor: 4.996

3.  Understanding changes in park visitation during the COVID-19 pandemic: A spatial application of big data.

Authors:  William L Rice; Bing Pan
Journal:  Wellbeing Space Soc       Date:  2021-05-11
  3 in total

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