| Records |
Author  |
English, D.; White, E., |
| Title |
Potential contributions of crowd-sourced data in public lands recreation monitoring systems |
Type |
|
| Year |
2021 |
Publication |
The 10th MMV Conference: Managing outdoor recreation experiences in the Anthropocene – Resources, markets, innovations |
Abbreviated Journal |
|
| Volume |
MINA fagrapport |
Issue |
|
Pages |
250-250 |
| Keywords |
MMV10 |
| Abstract |
Data on recreation use and visitor patterns are critical for information decisions about recreation management and policy. In the U.S., the recreation monitoring systems used by the federal public land agencies rely almost exclusively on traditional tools and approaches (Leggett et al. 2017). Specifically, U.S. federal agencies commonly combine permanent and temporary traffic counters with on-site visitor surveying to measure the amount of recreation use and visitor characteristics. Of the federal agency recreation monitoring programs, the National Visitor Use Monitoring (NVUM) Program used by the United States Forest Service is viewed as the most comprehensive. Recreation practitioners and policymakers have raised the potential for using crowd-sourced and online information posted by visitors in place of, or as supplement to, traditional recreation monitoring programs. We have found that crowd-sourced data, including social media posts, are well correlated with official NVUM use estimates across a range of spatial resolutions (Fisher et al. 2018, Wood et al. 2020). Further, Wood et al. found that models could be used to directly estimate the amount of recreation use, even at previously unstudied sites. However, that study also found that models developed using social media data worked best when they incorporated some on-the-ground counts gathered using traditional approaches. In this presentation, we describe opportunities to use crowd sourced data to complement the National Visitor Use Monitoring Program. First, crowd-sourced data offers the ability to infer patterns in recreation use at individual sites. The NVUM sampling program is not designed to provide recreation use estimates for individual sites and crowd sourced data offers promise to fill in this gap. Second, the NVUM program only provides results for individual forests every five years. By identifying relationships between the crowd-sourced data and the NVUM data collected in the on-the-ground sample year, we can develop an estimate of recreation use trends in the years between NVUM sample estimates using crowd-sourced data. Finally, the NVUM sample is drawn from a population of recreation site days characterized by field managers. This characterization can be difficult for managers because it requires knowledge of fine-scale temporal patterns in recreation use at individual sites. We believe that crowd-sourced data can be used to assist in describing those temporal trends, potentially improving the accuracy in characterizing the site day population. |
| Call Number |
|
Serial |
4312 |
| Permanent link to this record |
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| Author |
English, D.B.K.; White, E.M., |
| Title |
Comparing the economic impacts of recreation to rural and urban National Forests |
Type |
|
| Year |
2010 |
Publication |
Recreation, tourism and nature in a changing world |
Abbreviated Journal |
|
| Volume |
MMV 5 - Proceedings |
Issue |
|
Pages |
241-242 |
| Keywords |
MMV5, economic impacts, visitor spending, GDP, urban national forests |
| Abstract |
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| Call Number |
ILEN @ m.sokopp @ 178 |
Serial |
2786 |
| Permanent link to this record |
| |
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| |
| Author |
English, D.K.; Zarnoch, S.J., White, E.M. |
| Title |
Estimating Daily Existing Traiffic from National Forest recreation Sites Using Short-Term Observations Counts |
Type |
|
| Year |
2018 |
Publication |
Monitoring and Management of Visitor Flows in Recreational and Protected Areas – ABSTRACT BOOK |
Abbreviated Journal |
|
| Volume |
MMV 9 - Proceedings |
Issue |
|
Pages |
252-254 |
| Keywords |
MMV9 |
| Abstract |
Our goal was to develop estimates of daily (24-hour) exiting traffic volume using just the 6-hour observational count of exiting traffic and two variables from the interviews. More exactly, our goal was to develop 24-hour estimates from the 6-hour counts that were equivalent to the estimates generated from the current NVUM method. If our work was successful, we could eliminate the data quality issues and costs of the mechanical counters without appreciably changing the resulting estimates of visitation. We present our analytic process and results, and an evaluation of how well the process worked. |
| Call Number |
|
Serial |
4123 |
| Permanent link to this record |
| |
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| |
| Author |
Lia, E.; Wood, S.; Winder, S.; Miller, L.; White, E., |
| Title |
Community science supported recreation data using a SMS chatbot |
Type |
|
| Year |
2021 |
Publication |
The 10th MMV Conference: Managing outdoor recreation experiences in the Anthropocene – Resources, markets, innovations |
Abbreviated Journal |
|
| Volume |
MINA fagrapport |
Issue |
|
Pages |
278-278 |
| Keywords |
MMV10 |
| Abstract |
Collecting data on visitors demographics, their experiences, and general use patterns at recreation sites, such as trails, requires significant effort and resources. Despite this information being highly valuable to recreation planners for decision-making, there is often a scarcity of data at the appropriate spatial and temporal scales. To address this data gap, we developed a community science method, VisitorsCount!, to engage visitors in the data collection process. Visitors provide information about their recreation trip by interacting with a simple text-messaging chabot. This method allows visitors to submit data on recreation use and visitor experience with no prior training. We tested this method in the Mount Baker-Snoqualmie National Forest in Washington State, USA. |
| Call Number |
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Serial |
4324 |
| Permanent link to this record |
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| Author |
White, E.; Winder, S.; Wood, S., |
| Title |
The influence of wildfire and smoke on recreation visitation and behavior |
Type |
|
| Year |
2021 |
Publication |
The 10th MMV Conference: Managing outdoor recreation experiences in the Anthropocene – Resources, markets, innovations |
Abbreviated Journal |
|
| Volume |
MINA fagrapport |
Issue |
|
Pages |
360-360 |
| Keywords |
MMV10 |
| Abstract |
In the U.S. West, the area burned in wildfires has been increasing in recent years leading to a greater number of burned recreation destinations. In addition, prolonged periods of dense smoke have inundated both recreation destinations and urban settings. As climate change progresses and the frequency and severity of natural disturbances, such as wildfire, floods, and windstorms, increases we need to improve our understanding of how wildfire, smoke, and burned landscapes influence recreation behavior. In this presentation, we briefly synthesize the current literature on how recreation behavior is influenced by burned landscapes and discuss findings from our recent efforts, using traditional and crowd-sourced approaches, to understand the response of recreationists to wildfire and smoke. The research literature exploring how burned landscapes influences recreation use levels in the U.S. West is limited (McCaffrey et al 2013). Stated-preference studies exploring the welfare implications for recreationists from hypothetical burned landscapes account for much of the literature (Bawa 2017). Fewer studies have been completed on actual burned landscapes. In general, research conducted in-situ has found that any reductions in recreation visitation in recently burned landscapes is short-lived and modest and visitor satisfaction is largely unchanged (e.g., Brown et al. 2008, Love and Watson 1992). |
| Call Number |
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Serial |
4359 |
| Permanent link to this record |
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| |
| Author |
White, E.M.; English, D.K. |
| Title |
Measuring the spending of visitors to U.S. national forests over two decades |
Type |
|
| Year |
2018 |
Publication |
Monitoring and Management of Visitor Flows in Recreational and Protected Areas – ABSTRACT BOOK |
Abbreviated Journal |
|
| Volume |
MMV 9 - Proceedings |
Issue |
|
Pages |
325-327 |
| Keywords |
MMV9 |
| Abstract |
Understanding the magnitude and characteristics of spending by individuals recreating on national forests is key to describing how recreation use of the NFS affects the economy, both in communities around national forests and nationally. We have been conducting long-term research on recreation visitor spending patterns as part of the Forest Service National Visitor Use Monitoring (NVUM) Program. In this paper, we describe our approach to estimating visitor spending patterns and magnitude and report on the observed stability in spending patterns over time. |
| Call Number |
|
Serial |
4151 |
| Permanent link to this record |
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| Author |
Wood, S.; Lee, H.; Lia, E.; Miller, L.; Seo, B.; White, E.; Winder, S., |
| Title |
Landscape-scale insights into recreational activities derived from social media content |
Type |
|
| Year |
2021 |
Publication |
The 10th MMV Conference: Managing outdoor recreation experiences in the Anthropocene – Resources, markets, innovations |
Abbreviated Journal |
|
| Volume |
MINA fagrapport |
Issue |
|
Pages |
246-246 |
| Keywords |
MMV10 |
| Abstract |
Volunteered geographic information, such as social media and online trip reports, are a promising source of data on the amount and character of recreational use in parks and protected areas. The volume of data is often correlated with on-site measures of park visitation, and the content contains rich descriptions of visitors experiences. This study presents a novel and generalizable model of public land visitation based on posts to three online social media platforms and two trip reporting platforms from National Forests in Washington, USA. Then, we introduce and apply a convolutional neural network model for accurately classifying these visitors activities, based on the content of the social media. We find that social media can substantially improve estimates of visitation to public lands. Furthermore, there is also a strong correlation between the number of survey respondents reporting their participation in 14 common recreational activities and the number of social media posts classified as pertaining to the same activity. The models perform nearly as well in novel locations as in the primary location, suggesting that the approaches are broadly applicable, though performance varies by activity. By comparing our maps of recreational participation to the underlying landscape, we find that natural features (such as rivers, lakes, and higher elevations) and some built infrastructure (campgrounds, trails, roads) support a greater diversity of activities, while visitors are less sensitive to features such as picnic areas and wilderness designation. Even while respecting the limitations of the volunteered data and models, these results provide actionable information to land managers by illuminating how recreation varies spatially and according to the recreational activities that are provided. |
| Call Number |
|
Serial |
4310 |
| Permanent link to this record |
