Journal of Outdoor Recreation and Tourism, Journal Year: 2024, Volume and Issue: 48, P. 100835 - 100835
Published: Nov. 1, 2024
Language: Английский
Journal of Outdoor Recreation and Tourism, Journal Year: 2024, Volume and Issue: 48, P. 100835 - 100835
Published: Nov. 1, 2024
Language: Английский
Journal of Ecotourism, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 19
Published: March 10, 2025
Language: Английский
Citations
0Medicina, Journal Year: 2025, Volume and Issue: 61(1), P. 115 - 115
Published: Jan. 14, 2025
Background and Objectives: Accurate hiking time estimate is crucial for outdoor activity planning, especially in mountainous terrains. Traditional mountain signage online platforms provide generalized recommendations, often lacking personalization. This study aims to evaluate the variability estimates from different methods assess potential of a novel algorithm, MOVE, enhance accuracy safety. Materials Methods: A cross-sectional analysis was conducted using data 25 Italian loop trails selected via Wikiloc platform, considering user-uploaded GPS at least 20 users per trail. Real-world times were compared with estimations Komoot, Outdooractive, signage, MOVE which incorporates individualized biological trail characteristics. Results: Significant discrepancies observed between actual Komoot (ΔWK: −48.92 ± 57.16 min), Outdooractive (ΔWO: −69.13 58.23 (ΔWS: −29.59 59.90 min; all p < 0.001). In contrast, showed no statistically significant difference (ΔWM: −0.27 65.72 = 0.278), providing most accurate predictions. Conclusions: Current estimation show substantial inaccuracy, may pose safety risks. demonstrated superior accuracy, offering personalized predictions based on user-specific Integrating such advanced tools into planning could accessibility, particularly individuals chronic conditions. Further studies should explore integrating real-time health refine these tools.
Language: Английский
Citations
0bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown
Published: Feb. 12, 2024
ABSTRACT Outdoor recreation has experienced a boom in recent years. While outdoor provides wide-ranging benefits to human well-being and is an important feature of many protected non-protected areas, there are growing concerns about the sustainability with increased pressures placed on ecological systems visitor experiences. These emphasize need for managers access accurate timely data at scales that match footprint. Here, we compare spatial temporal patterns winter summer use using traditional application-based tools across Columbia Canadian Rocky Mountains western Canada. We demonstrate how can be estimated tools, although their accuracy utility varies space, season activity type. Cameras counters captured similar broad-scale count estimates pedestrians all activities. Application-based provided detailed spatiotemporal information use, but datasets were biased towards specific types did not represent full population. For instance, Strava Metro was more suited capturing biking than pedestrian recreation. Traditional including aerial surveys participatory mapping coarser intensity extent recreation, former tool areas low latter large scales. should supplemented from cameras or trail identify biases fill gaps. provide comparison each measuring highlight tools’ strengths limitations, suggest these address real-world monitoring management scenarios. Our research contributes better understanding what available measure help direct selecting which tool, combinations expand rigor scope research. This support decision-making lead protection while allowing high-quality GRAPHICAL
Language: Английский
Citations
1PeerJ, Journal Year: 2024, Volume and Issue: 12, P. e17744 - e17744
Published: Sept. 10, 2024
Outdoor recreation has experienced a boom in recent years and continues to grow. While outdoor provides wide-ranging benefits human well-being, there are growing concerns about the sustainability of with increased pressures placed on ecological systems visitor experiences. These emphasize need for managers access accurate timely data at scales that match extent footprint. Here, we compare spatial temporal patterns winter summer using traditional (trail cameras, infrared counters, aerial surveys, participatory mapping) application-based tools (Strava Metro, Strava Global Heatmap, Wikiloc) across Columbia Canadian Rocky Mountains western Canada. We demonstrate how use can be estimated tools, although their accuracy utility varies space, season activity type. found trail cameras counters captured similar broad-scale count estimates pedestrians all activities. Aerial surveys areas low intensity mapping coarser information large scales. Application-based provided detailed spatiotemporal use, but datasets were biased towards specific Metro was more suited capturing biking than pedestrian recreation. should supplemented from identify biases fill gaps. provide comparison each tool measuring highlight tools’ strengths limitations applications address real-world monitoring management scenarios. Our research contributes better understanding which tool, or combinations expand rigor scope research. findings support decision-making mitigate wildlife habitats while allowing high-quality
Language: Английский
Citations
1Forest Policy and Economics, Journal Year: 2024, Volume and Issue: 170, P. 103390 - 103390
Published: Dec. 21, 2024
Language: Английский
Citations
1Journal of Outdoor Recreation and Tourism, Journal Year: 2024, Volume and Issue: 48, P. 100835 - 100835
Published: Nov. 1, 2024
Language: Английский
Citations
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