Estimating Trail Use and Visitor Spatial Distribution Using Mobile Device Data: An Example From the Nature Reserve of Orange County, California USA

Monitoring visitor use in parks and protected areas (PPAs) provides essential information for managers of PPAs to evaluate aspects of the visitor experience and balance the ecological disturbance that use creates. Traditional methods for quantifying visitation and spatial use of PPAs are resource intensive and thus are conducted infrequently or at cost-effective intervals which may fail to capture the dynamic nature of modern visitor use trends. This paper provides an addition to a growing literature using mobile-device data to quantify visitation and spatial density of use of urban-proximate PPAs in Orange County, California, USA using the analysis platform Streetlight, Inc. The results of our analysis compared favorably with well-established automatic trail counting and GPS-based monitoring methods, and illustrate several advantages of mobile device data to inform the management of PPAs. Mobile device data provide reliable estimates of visitation and spatial density of use and can augment and compliment existing social and resource monitoring for PPA management and planning

Kudos and K.O.M.’s: The Effect of Strava Use on Evaluations of Social and Managerial Conditions, Perceptions of Ecological Impacts, and Mountain Bike Spatial Behavior

Smartphone based self-tracking fitness applications (apps) like Strava are increasingly becoming a part of recreation experiences in parks and protected areas (PPAs). Recreation research has employed smartphone GPS tracking (SGT) and volunteered geographic information (VGI) to study visitor behavior in PPAs, but little is understood about how smartphones or fitness apps affect visitor perceptions and behavior during their experience. The first chapter of this thesis is a literature review of recreation survey and behavior research, social-psychology and technology use theory, gamification, and mountain bike social science and recreation-ecology research. The second chapter is formatted for submission to the Journal of Outdoor Recreation and Tourism and presents results from a survey and global positioning system (GPS) tracking study of visitors to PPAs in Orange County, CA to explore the effect of Strava use on visitors’ evaluations of trail, management, and social conditions, ecological knowledge and perceptions of ecological impacts of recreation and differences in spatial behavior of mountain bikers who use Strava and those who do not

Coronal Heating as Determined by the Solar Flare Frequency Distribution Obtained by Aggregating Case Studies

Flare frequency distributions represent a key approach to addressing one of the largest problems in solar and stellar physics: determining the mechanism that counter-intuitively heats coronae to temperatures that are orders of magnitude hotter than the corresponding photospheres. It is widely accepted that the magnetic field is responsible for the heating, but there are two competing mechanisms that could explain it: nanoflares or Alfv\'en waves. To date, neither can be directly observed. Nanoflares are, by definition, extremely small, but their aggregate energy release could represent a substantial heating mechanism, presuming they are sufficiently abundant. One way to test this presumption is via the flare frequency distribution, which describes how often flares of various energies occur. If the slope of the power law fitting the flare frequency distribution is above a critical threshold, $\alpha=2$ as established in prior literature, then there should be a sufficient abundance of nanoflares to explain coronal heating. We performed $>$600 case studies of solar flares, made possible by an unprecedented number of data analysts via three semesters of an undergraduate physics laboratory course. This allowed us to include two crucial, but nontrivial, analysis methods: pre-flare baseline subtraction and computation of the flare energy, which requires determining flare start and stop times. We aggregated the results of these analyses into a statistical study to determine that $\alpha = 1.63 \pm 0.03$. This is below the critical threshold, suggesting that Alfv\'en waves are an important driver of coronal heating.Comment: 1,002 authors, 14 pages, 4 figures, 3 tables, published by The Astrophysical Journal on 2023-05-09, volume 948, page 7