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Where will the next ski injury occur? A system for visual and predictive analytics of ski injuries

Author

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  • Sandro Radovanovic

    (University of Belgrade)

  • Boris Delibasic

    (University of Belgrade)

  • Milija Suknovic

    (University of Belgrade)

  • Dajana Matovic

    (University of Belgrade)

Abstract

Ski injury is a rare event with 2‰ rate (2 injuries per 1000 skier days expected). Additionally, injuries are dispersed over a ski resort spatially and temporally, making it harder to predict where the injury will occur. In order to inspect ski-related injuries, we have developed a visual system which allows global and spatial inspection of ski lift transportation RFID data. To enrich the visual environment, we have embedded a predictive lasso regression model which predicts injury occurrence spatially and temporally over a ski resort with an AUC performance of 0.766. We propose the model which allows decision makers to make real-time decisions on allocation of rescue service capacities at a ski resort. Predictive model improves the models existing in literature as it works for various locations at a ski resort, and makes predictions of occurring injuries on an hourly basis.

Suggested Citation

  • Sandro Radovanovic & Boris Delibasic & Milija Suknovic & Dajana Matovic, 2019. "Where will the next ski injury occur? A system for visual and predictive analytics of ski injuries," Operational Research, Springer, vol. 19(4), pages 973-992, December.
    • Handle: RePEc:spr:operea:v:19:y:2019:i:4:d:10.1007_s12351-018-00449-x
    DOI: 10.1007/s12351-018-00449-x
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    References listed on IDEAS

    as
    1. Wolff, François-Charles, 2014. "Lift ticket prices and quality in French ski resorts: Insights from a non-parametric analysis," European Journal of Operational Research, Elsevier, vol. 237(3), pages 1155-1164.
    2. Robert Tibshirani, 2011. "Regression shrinkage and selection via the lasso: a retrospective," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 73(3), pages 273-282, June.
    3. François-Charles Wolff, 2014. "Lift ticket prices and quality in French ski resorts: Insights from a non-parametric analysis," Working Papers hal-00952999, HAL.
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