Improving Decision-Making in Ski Resorts by Analysing Ski Lift Transportation—A Review

Boris Delibašić, Sandro Radovanović, Miloš Jovanović, Milija Suknović
December, 2020
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Abstract

This paper provides an overview of research on ski lift transportation data, a still heavily underused resource in ski resorts. To the best of our knowledge, this is the first paper that provides an overview of the efforts done in analyzing ski lift transportation data with the goal to advance the decision-making process in ski resorts. The paper is separated into three major research directions, the first being the clustering of ski lift transportation data. The second research direction is concerned with the exploitation of ski lift transportation data for ski injury research and prevention. The third research direction is concerned with congestion analysis in ski resorts. We provide directions for future research in the conclusion.

Type
Conference paper
Publication
In Advances in Operational Research in the Balkans 2019
Ski injury prediction Ski lift congestion Clustering Data Mining
Sandro Radovanović
Sandro Radovanović
Assistant Professor at University of Belgrade

My research interests include machine learning, development and design of decision support systems, decision theory, and fairness and justice concepts in algorithmic decision making.