The Analysis on Causes of Public Skiing Accidents Based on Data Mining
- DOI
- 10.2991/assehr.k.210519.103How to use a DOI?
- Keywords
- “2-4”model, skiing, safety
- Abstract
Based on data mining, using the 2-4 model of accident causes, 53 cases of skiing accidents are analyzed by mathematical statistics method. According to the research, the direct cause of public skiing accidents is the unsafe actions of the people who caused the accidents. In particular, the unsafe actions of people who fail to keep a safe distance in skiing have the highest frequency, accounting for 37.28% of the accident rate. The unsafe material state is that the protective net fails to play a protective role, accounting for 31.58% of the accident rate. The indirect cause is short of safety knowledge and safety awareness for skiers, staffs in the skiing resort and skiing instructors. The primary cause is lack of safety management system for skier family, skier unit and skiing resort. Lack of safety culture in the accident organization is the root cause.
- Copyright
- © 2021, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Zhi-lin Yang AU - Jun-qing Fan PY - 2021 DA - 2021/05/20 TI - The Analysis on Causes of Public Skiing Accidents Based on Data Mining BT - Proceedings of the 7th International Conference on Humanities and Social Science Research (ICHSSR 2021) PB - Atlantis Press SP - 517 EP - 520 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.210519.103 DO - 10.2991/assehr.k.210519.103 ID - Yang2021 ER -