TY - JOUR
T1 - Risk assessment of large-scale winter sports sites in the context of a natural disaster
AU - Wu, Jiansong
AU - Xing, Yuxuan
AU - Bai, Yiping
AU - Hu, Xiaofeng
AU - Yuan, Shuaiqi
PY - 2022
Y1 - 2022
N2 - Accidents induced by natural disasters at sports sites may cause catastrophic loss of great concern. However, previous studies on risk assessments of sports sites have only focused on operational risk and equipment failure. With the frequent occurrence of extreme disasters, the risk of domino chains caused by natural disasters at large-scale events, such as large-scale winter sports sites, cannot be ignored. In this study, a natural disaster-induced accident-chain evolution analysis model (NAEA model) is proposed. Based on the results of the NAEA model, a fuzzy Bayesian network for domino accidents triggered by an earthquake at large-scale winter sports sites was established. Through sensitivity analysis and scenario analysis, it was found that fire and explosion accidents and crowded stampede accidents are the main causes of serious loss in domino disaster chains in large-scale sports sites. Simultaneously, improving the early warning capability, reliability of electrical equipment, and automatic sprinkler systems are the most effective ways to prevent and control major accidents. In addition, an optimal safety strategy improvement analysis was performed to facilitate the decision-making of safety managers to prevent serious accidents and reduce accident loss.
AB - Accidents induced by natural disasters at sports sites may cause catastrophic loss of great concern. However, previous studies on risk assessments of sports sites have only focused on operational risk and equipment failure. With the frequent occurrence of extreme disasters, the risk of domino chains caused by natural disasters at large-scale events, such as large-scale winter sports sites, cannot be ignored. In this study, a natural disaster-induced accident-chain evolution analysis model (NAEA model) is proposed. Based on the results of the NAEA model, a fuzzy Bayesian network for domino accidents triggered by an earthquake at large-scale winter sports sites was established. Through sensitivity analysis and scenario analysis, it was found that fire and explosion accidents and crowded stampede accidents are the main causes of serious loss in domino disaster chains in large-scale sports sites. Simultaneously, improving the early warning capability, reliability of electrical equipment, and automatic sprinkler systems are the most effective ways to prevent and control major accidents. In addition, an optimal safety strategy improvement analysis was performed to facilitate the decision-making of safety managers to prevent serious accidents and reduce accident loss.
KW - Bayesian network
KW - Domino disaster chain
KW - Fuzzy logic
KW - Large-scale sports sites
KW - Natural disaster
KW - Risk assessment
UR - http://www.scopus.com/inward/record.url?scp=85134289003&partnerID=8YFLogxK
U2 - 10.1016/j.jnlssr.2022.03.006
DO - 10.1016/j.jnlssr.2022.03.006
M3 - Review article
AN - SCOPUS:85134289003
VL - 3
SP - 263
EP - 276
JO - Journal of Safety Science and Resilience
JF - Journal of Safety Science and Resilience
SN - 2096-7527
IS - 3
ER -