Abstract
Decisions to close the Little Cottonwood Canyon Highway to vehicular traffic are made by avalanche forecasters. These decisions are based on professional experience and on careful monitoring of the prevailing conditions. Considerable data on weather and snowpack conditions exist. These data are informally employed by the forecasters in the road closure decision but presently they do not use formal statistical methods. This paper attempts a more formal statistical analysis to determine to whether this might facilitate the road closure decision. The conclusion is that the statistical model provides information relevant to the road closure decision that is not identical to that of the experts. When the expert decision is augmented by the statistical information, better decisions are reached compared with decisions based on either the expert opinion alone or the statistical model.
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References
Armstrong, E. and Williams, K. (1986) The Avalanche Book, Fulcrum, Golden, CO.
Bovis, M. (1977) Statistical forecasting of snow avalanches, San Juan Mountains Southern Colorado, USA. Journal of Glaciology, 18, 109–115.
Bowles, D. and Sandahl, B. (1988) Avalanche hazard index for Highway 210: Little Cottonwood Canyon mile 5.4–13.1, mimeographed.
Clarke, D. G. and McDonald, J. B. (1992) Generalized bankruptcy models applied to predicting consumer credit behavior. Journal of Economics and Business, 44, 47–62.
Clemen, R. T. and Winkler, R. L. (1986) Combining economic forecasts. Journal of Business and Economic Statistics, 4, 39–48.
Ferguson, S. A. (1984) The Role of Snow Pack Structure in Avalanching, PhD thesis, University of Washington.
Fjeldsted, B. L. and Hachman, F. C. (1991) Results of the 1990–91 Utah Skier Survey. Utah Economic and Business Review, 51, 1–15.
Fohn, P., Good, W., Bois, P. and Obled, C. (1977) Evaluation and comparison of statistical and conventional methods of forecasting avalanche hazard. Journal of Glaciology, 19, 375–387.
Genest, C. and Zidek, J. V. (1986) Combining probability distributions a critique and an annotated bibliography. Statistical Science, 1, 114–148.
LaChapelle, E. (1977) A Field Guide to Snow Crystals, University of Washington Press, Seattle.
LaChapelle, E. (1980) Fundamental processes in conventional avalanche forecasting. Journal of Glaciology, 26, 75–84.
McClung, D. and Schaerer, P. (1993) The Avalanche Handbook, The Mountaineers, Seattle.
McDonald, J. B. (1984) Some functions for the size distribution of income. Econometrica, 52, 647–663.
McDonald, J. B. (1991) Parametric models for partially adaptive estimation with skewed and leptokurtic residuals. Economics Letters, 37, 273–278.
Morris, P. A. (1974) Decision analysis expert use. Management Science, 20,1233–1241.
Perla, R. (1970) On contributory factors in avalanche hazard evaluation. Canadian Geotechnical Journal, 414–419.
National Research Council, ed. (1990) Snow Avalanche Hazards and Mitigation in the United States, Panel on Snow Avalanches, National Academy Press, Washington, D.C.
Perla, R. and Martinelli, Jr., M. (1975) The Avalanche Handbook, US Forest Service, Washington, DC.
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© 1995 Springer-Verlag New York, Inc.
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Blattenberger, G., Fowles, R. (1995). Road Closure: Combining Data and Expert Opinion. In: Gatsonis, C., Hodges, J.S., Kass, R.E., Singpurwalla, N.D. (eds) Case Studies in Bayesian Statistics, Volume II. Lecture Notes in Statistics, vol 105. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-2546-1_6
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DOI: https://doi.org/10.1007/978-1-4612-2546-1_6
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