Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 26, issue 3
Articles | Volume 26, issue 3
https://doi.org/10.5194/nhess-26-1537-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-26-1537-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 3
Research article
 | 
25 Mar 2026
Research article |  | 25 Mar 2026

Tracking the slopes: a spatio-temporal prediction model for backcountry skiing activity in the Swiss Alps using user-generated content

Leonie Schäfer, Frank Techel, Günter Schmudlach, and Ross S. Purves

Viewed

Total article views: 5,252 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,527 1,562 163 5,252 278 148 186
  • HTML: 3,527
  • PDF: 1,562
  • XML: 163
  • Total: 5,252
  • Supplement: 278
  • BibTeX: 148
  • EndNote: 186
Views and downloads (calculated since 06 Jun 2025)
Cumulative views and downloads (calculated since 06 Jun 2025)

Viewed (geographical distribution)

Total article views: 5,252 (including HTML, PDF, and XML) Thereof 5,190 with geography defined and 62 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 05 Sep 2026
Download
Short summary
Backcountry skiing is a popular form of recreation in Switzerland and worldwide, despite numerous avalanche accidents and fatalities that are recorded each year. There is a need for spatially explicit information on backcountry usage for effective risk estimations and avalanche forecast verification. We used GPS tracks and online engagement data to model and predict daily backcountry skiing base rates in the Swiss Alps based on a set of snow, weather, temporal and environmental variables.
Read more
Share
Altmetrics
Final-revised paper
Preprint