首页|大型体育赛事组织信息传递特性分析:以甘肃白银"5·22"越野赛事故为例

大型体育赛事组织信息传递特性分析:以甘肃白银"5·22"越野赛事故为例

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为深入分析大型体育赛事组织信息传递特性,以"5·22"甘肃白银越野赛事故为例,剖析各组织在信息传递过程中的影响.首先,基于系统论的事故过程致因(STAMP)模型,构建赛事组织信息传递模型,并将传递过程划分为赛前准备、事故发生、应急救援和善后处置4个阶段,分别从个人、企业和政府3个层级进行分析;然后,利用复杂网络(CN)理论,建立组织信息传递网络结构,识别重要信息节点和路径;最后,采用熵权法构建信息量边载权重计算模型.结果表明:重要信息节点主要集中于个人层和政府层,尤其在赛前准备阶段的传递路径信息量较高,而企业层在此阶段的责任履行不足,特别是在天气信息的获取与传递上存在缺失,导致关键时刻的决策和行动受阻.
Analysis of information transmission characteristics of large-scale sports event organizations:taking "5·22" cross-country race accident in Gansu Baiyin as an example
To deeply analyze the information transmission characteristics of large-scale sports events organizations,the effects of various organizations during the information transmission process were analyzed taking "5·22" cross-country race accident in Gansu Baiyin as an example.Firstly,an event organization information transmission model was proposed based on STAMP model.Moreover,the transmission process was divided into four stages:preparation,incident occurrence,emergency response,and post-incident handling,and analyzed from three levels:individual,enterprise,and government.Then,CN theory was used to develop an organizational information transmission network structure and identify key information nodes and paths.Finally,the entropy weight method was used to propose the information edge weight calculation model.The results indicated that the key information nodes were mainly concentrated at the individual and government levels,especially in the preparation stage when the information load of transmission paths was relatively high.However,enterprises showed insufficient responsibility at this stage,particularly in the acquisition and transmission of weather information,leading to impaired decision-making and actions at critical moments.

large-scale sporting eventsorganizational information transfersystem theoretic accident modeling and processes (STAMP) modelcomplex network (CN) theoryentropy weight method

李华、弥芯怡、吴立舟

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西安建筑科技大学 资源工程学院,陕西 西安710055

大型体育赛事 组织信息传递 系统论事故过程致因(STAMP)模型 复杂网络(CN)理论 熵权法

2024

中国安全科学学报
中国职业安全健康协会

中国安全科学学报

CSTPCD北大核心
影响因子:1.548
ISSN:1003-3033
年,卷(期):2024.34(10)