Articles | Volume 19, issue 1
https://doi.org/10.5194/nhess-19-269-2019
https://doi.org/10.5194/nhess-19-269-2019
Research article
 | 
28 Jan 2019
Research article |  | 28 Jan 2019

A method of deriving operation-specific ski run classes for avalanche risk management decisions in mechanized skiing

Reto Sterchi and Pascal Haegeli

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Cited articles

Adams, L.: A systems approach to human factors and expert decision-making within the Canadian avalanche phenomena, Royal Roads University, Victoria, BC, Canada, 284 pp., 2005. 
Assent, I.: Clustering high dimensional data, Wires Data Min. Knowl., 2, 340–350, https://doi.org/10.1002/widm.1062, 2012. 
Bruns, W.: Snow Science and Safety for the Mountain Guide, in: Proceedings of the International Snow Science Workshop, Banff, AB, Canada, 203–206, 1996. 
Bühler, Y., Kumar, S., Veitinger, J., Christen, M., Stoffel, A., and Snehmani: Automated identification of potential snow avalanche release areas based on digital elevation models, Nat. Hazards Earth Syst. Sci., 13, 1321–1335, https://doi.org/10.5194/nhess-13-1321-2013, 2013. 
Campbell, C. and Gould, B.: A proposed practical model for zoning with the Avalanche Terrain Exposure Scale, in: Proceedings of the International Snow Science Workshop, Grenoble – Chamonix Mont-Blanc, France, 385–391, 2013. 
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Short summary
We used a revealed preference approach and identified patterns in risk management decisions of mechanized skiing operations. Our results show that terrain choices of experienced guides depend on a much broader set of factors beyond just the avalanche hazard, including skiing experience or accessibility due to weather. The identified high-resolution ski run hierarchies provide new opportunities for examining professional avalanche risk management practices and developing meaningful decision aids.
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